Search, filter, and explore the complete landscape of AI tools — from chatbots and image generators to automation platforms and vector databases.
Showing 954 of 954 tools
OpenAI's flagship AI assistant. Now powered by GPT-5.5 on Plus and above (April 23, 2026 — the new agentic flagship), with GPT-5.5 Pro on Pro/Business/Enterprise. GPT-5.4 mini on Free/Go. The most widely used AI chatbot with 400M+ weekly users. Tiers: Free, Go ($8/mo), Plus ($20/mo), Pro ($200/mo). GPT Image 2, Voice Mode, Deep Research, Custom GPTs.
Anthropic's AI assistant known for long-context reasoning, coding, and following nuanced instructions. 1M token context window (GA March 2026). Opus 4.6 at $5/$25 per million tokens. Strong safety and helpfulness balance.
Google's AI assistant powered by Gemini 3.1 Pro (Feb 2026) — record benchmark scores on 12+ evaluations. Native multimodal (text, images, audio, video), 1M token context, Deep Think reasoning, and deep integration with Google Workspace.
Microsoft's AI companion powered by multi-model intelligence (GPT + Claude) via Wave 3 update (March 2026). Built into Windows 11, Edge, and Microsoft 365. $30/user/month enterprise add-on.
xAI's AI assistant with real-time access to X/Twitter data, 2M token context, and an unfiltered personality. Integrated into the X platform.
AI-powered answer engine that cites real-time web sources. Excellent for research, fact-checking, and getting answers with verifiable references.
Meta's AI assistant powered by Llama 4 Maverick (MoE, 400B/17B active, 1M context), integrated into WhatsApp, Instagram, Facebook, and Messenger. Free with no subscription required.
Popular consumer AI chatbot platform for creating and chatting with AI characters. Roleplay, creative writing, and entertainment. Google licensing deal for Gemini models.
Privacy-first AI platform routing chat, image, and code across 200-plus models with client-side encryption and no server-side logging.
Chinese AI lab that triggered a $589B NVIDIA crash. V3.2-Speciale won IMO gold medal. MIT-licensed open-source weights. Banned on gov devices in multiple countries. V4 imminent.
Mistral AI's consumer AI platform. Powered by Mistral Large 3 (675B MoE). Mobile apps, Deep Research mode, Projects, code interpreter, Flux Ultra image gen. EU data sovereignty. Pro at €14.99/month.
Alibaba's Qwen3.5 model family chat interface. Flagship 397B-A17B with Gated DeltaNet+MoE, 262K-1M context. 100+ languages. 9B model matches GPT-OSS-120B on GPQA Diamond.
Moonshot AI's AI assistant powered by Kimi K2.5 (1T MoE, 32B active). 256K context, multimodal (15T mixed tokens). Beats GPT 5.2 on SWE-Bench Multilingual. Kimi Code for IDE integration.
ByteDance's AI chatbot — the most-used in China with 100M+ DAU. Seed 2.0 Pro scores 98.3% on AIME 2025 and matches GPT 5.2 at roughly 1/10th the cost. Four variants: Pro, Lite, Mini, Code.
Baidu's AI assistant powered by ERNIE 5.0 — a 2.4T parameter unified multimodal model (text/image/video/audio). Comparable to Gemini-2.5-Pro. Dominant in Chinese-language tasks with Baidu Search grounding.
Cohere's enterprise AI assistant built on Command A (111B, 256K context). Purpose-built for RAG in regulated industries. North platform deploys behind customer firewalls. $7B valuation, IPO expected 2026.
Korean-language AI model designed for on-device deployment and KakaoTalk integration. AI assistant for 50M+ KakaoTalk users with search, scheduling, and task management capabilities.
AI agent platform for South Korea's dominant search engine. AI shopping agents, search assistants, and autonomous task completion for 60%+ of Korean search traffic. Launching H1 2026.
The gold standard for artistic AI image generation. Exceptional aesthetic quality and style control via Discord and web interface. Huge community of creators.
OpenAI's image generation via ChatGPT. GPT Image 2 (April 2026) is the first OpenAI image model with built-in O-series reasoning — it plans compositions before drawing. Adds multilingual text rendering (Japanese, Korean, Chinese, Hindi, Bengali), web-search grounding, 2K resolution, and up to 8 images per prompt. Took #1 on the Image Arena leaderboard by +242 points at launch.
The leading open-source image generation model. Run locally, fine-tune on custom data, or use via API. Huge ecosystem of models, LoRAs, and tools.
Fast image generation powered by Google's Gemini 3.1 Flash Image model via AI Studio. Speed-optimized for high-quality output with API access for developers.
Google's flagship image gen model — 4K resolution, accurate text rendering, SynthID watermarking.
AI 3D model generator — turns text prompts or images into textured 3D assets in seconds, with a generate-and-refine loop that gives game developers and 3D artists usable models without a full modeling pipeline.
Meta's free AI image generator built into the Meta AI app, Instagram, and WhatsApp — image creation, prompt-based editing, ad and QR-code generation, plus a controversial feature that transforms other people's public photos.
Adobe AI model family powering Creative Cloud. Firefly Image Model 5 (GA March 2026) generates photorealistic 4MP images. Firefly Video Model adds commercially safe AI video (Text to Video, Image to Video, Generative Extend). 30+ model hub including Google, Runway, Kling. Custom Models in public beta. Generate Soundtrack + Speech. Unlimited generations for subscribers. Trained on licensed Adobe Stock — commercially safe.
State-of-the-art open-weight image model from Black Forest Labs. Flux Pro and Schnell versions offer photorealistic quality with fast inference speeds.
Creative Operating System with 265M monthly active users, $42B valuation. Visual Suite 2.0 unifies presentations, documents, whiteboards, and spreadsheets. Dream Lab for high-fidelity AI image generation. Canva Sheets with Magic Charts/Formulas/Insights. Magic Media (text-to-image/video), Magic Write, Magic Design, Magic Translate. 95% of Fortune 500. IPO expected H2 2026.
xAI's image generation model integrated into Grok chatbot and X platform for conversational image creation.
Microsoft's strongest in-house image generation + editing model (Build 2026). Microsoft says it launched No. 2 for image editing on LMArena, with standout text rendering + identity consistency. Live in PowerPoint/Copilot + Microsoft Foundry; a faster Flash variant handles high-volume production.
AI image generator with industry-leading text rendering accuracy. Ideal for logos, posters, social media graphics, and any design requiring accurate text.
Professional-grade AI image and vector generation. Excellent for brand-consistent design work, icon sets, and generating SVG/vector outputs from prompts.
Multi-model AI art platform supporting SDXL, Flux, DALL-E, and more. Strong community features, daily challenges, and print-on-demand options.
Stability AI's latest open-source image generation model. Multiple variants for different hardware. Company stabilized under new CEO Prem Akkaraju; Getty Images lawsuit ongoing.
Google DeepMind's video generation models. Veo 3 generates synchronized audio with video. Veo 3.1 (March 2026) upgrades to 4K resolution and 60-second clips. Available via Google AI Studio and Vertex AI.
AI video generation platform specializing in talking avatar videos. Upload a photo, add a script, and generate a professional spokesperson video in minutes.
Google's multimodal video model unveiled at Google I/O 2026 — turns images, audio, and text into video. The companion piece to Gemini 3.5 Flash, positioned alongside Veo 3 and Nano Banana Pro inside the Google generative-media stack.
Professional AI video creation platform used by major studios. Current flagship Gen-4 (plus Gen-4 Aleph for in-context video editing) adds strong character and scene consistency; supports text-to-video, image-to-video, video-to-video, and post-production tools.
Luma AI's popular text-to-video and image-to-video generation tool. High-quality cinematic output at accessible pricing. Strong community and rapid iteration.
Discontinued March 2026. Was OpenAI's text-to-video model with cinematic quality output, storyboarding, remix, and synchronized audio. iOS app, API, and sora.com all shutting down.
High-quality video generation from Kuaishou (China). Strong physics simulation and character motion. Competitive quality at lower cost than US alternatives.
Enterprise-grade AI video platform with 230+ AI avatars in 140+ languages. Used by 50,000+ companies for training videos, product demos, and communications.
Fast AI video generation with strong motion consistency. Supports text-to-video and image-to-video with various aspect ratios and style controls.
AI-powered video and podcast editing platform. Edit video like a doc, remove filler words, clone your voice, and create AI overdub replacements.
High-volume consumer text-to-video and image-to-video app with 4K output and embedded audio; strong on fast, stylized short clips.
The leading AI voice generation platform. Ultra-realistic text-to-speech in 32 languages, voice cloning, and a massive voice library. Used by 1M+ creators.
OpenAI's text-to-speech (TTS) and speech-to-text (Whisper) APIs. Whisper is open-source and industry-leading for transcription accuracy across 100+ languages.
AI music generation platform that creates full songs with vocals from text prompts. Generate radio-quality tracks in any genre in seconds.
OpenAI's WebSocket-based voice API hosting GPT-Realtime-2 (GPT-5-class voice reasoning), GPT-Realtime-Translate (70+ input languages), and GPT-Realtime-Whisper (live speech-to-text) — launched May 7, 2026.
Voice-agent platform for building and deploying AI voice agents — customer support, lead qualification, appointment scheduling, sales calls. Processes 1 billion-plus calls; Amazon Ring chose it over 40 rivals.
Mistral AI's open-source text-to-speech model — 4 billion parameters, 9 languages, runs on consumer hardware, $0.016 per 1,000 characters via API
Amazon Alexa+ feature that turns any topic into an AI-narrated podcast episode in minutes, with mid-conversation refinement and a licensed news corpus from the Associated Press, Reuters, The Washington Post, TIME, Forbes, Business Insider, Politico, USA Today, and over 200 local U.S. newspapers. Launched May 2026 to U.S. Alexa+ customers; bundled at no extra cost for Prime members.
AI music creation tool that generates studio-quality songs with instrumentals and vocals. Strong for diverse genres and style blending.
Google's AI song generator, powered by the Lyria model family. Lyria 3.5 shipped July 29, 2026 with more natural vocals and finer tempo control. Every output carries a SynthID watermark and C2PA credentials, and Google grounds its training data in YouTube and Google rights rather than an untested fair-use defense.
Free AI audio enhancement tool that removes background noise and improves microphone quality. Makes any recording sound like it was recorded in a professional studio.
AI voice keyboard for Mac, Windows, iOS, and Android — press a hotkey, dictate into any app, and Flow transcribes with AI filler-word cleanup and context-aware formatting. Distinct from OpenAI Whisper despite the similar name.
Speech platform with real-time text-to-speech, 15-second voice cloning, speech-to-text and audio tooling, backed by the Fish Speech research models. Free tier plus paid plans from $5.50 per month; the downloadable weights are research-licensed, not permissively open.
Indian voice AI company building small, low-latency speech models — Lightning (text-to-speech), Pulse (speech-to-text), Hydra (speech-to-speech) and Electron — under a voice-agents platform.
Stability AI's four-model family for music generation. Medium and large variants render compositions up to six minutes and twenty seconds; small variants top out at two minutes. Three of the four variants ship with open weights (small SFX, small, and medium); the large model is API or self-hosted under a paid license required above one million dollars in revenue. Training data is fully licensed via direct partnerships with Warner Music Group and Universal Music Group.
Microsoft's in-house expressive text-to-speech model (Build 2026). Natural, emotionally expressive speech across 15 languages with fine-grained control + voice-cloning protections; a low-latency Flash variant targets real-time voice. In Microsoft Foundry.
Microsoft's in-house speech-to-text model (Build 2026). Microsoft reports 43 languages, No. 1 on FLEURS (~2.4% word error rate), and one hour transcribed in under 15 seconds (up to 5x faster than rivals) at ~36 cents/hour. In Microsoft Foundry.
Professional AI voiceover studio with 120+ voices in 20+ languages. Includes timeline-based video sync, pitch/speed controls, and team collaboration.
AI assistant embedded in Word, Excel, PowerPoint, Outlook, and Teams. Draft documents, analyze spreadsheets, generate presentations, and summarize meetings.
AI features across Gmail, Docs, Sheets, Slides, and Meet. Gemini-powered drafting, summarization, data analysis, and meeting transcription.
Microsoft's agentic layer inside Microsoft 365 Copilot that plans and executes long-running, multi-tool tasks end to end — with multi-model routing (Claude Opus 4.8, Sonnet 4.6, GPT-5.5), Work IQ grounding in org data, and usage-based Copilot Credits pricing.
AI writing, summarization, and Q&A built into Notion's workspace. Ask questions about your notes, auto-fill databases, and draft content in context.
Anthropic's new AI-powered design tool (April 2026) for rapid creation of prototypes, presentation slides, one-pagers, and UI mockups. Built on Claude Opus 4.7, with automatic brand system integration that reads your codebase and design files. Pro+ only.
Google's source-grounded AI research tool, renamed from NotebookLM in July 2026. Works exclusively from documents you upload with citations on every answer, and now runs native code execution in a secure cloud sandbox for data analysis. Syncs with the Gemini app.
Anthropic's agentic workspace that gives Claude access to a local folder to autonomously read, create, and edit files. Connects to Google Drive, Gmail, DocuSign, and enterprise plugins across finance, HR, and engineering.
A 19-model agentic 'digital worker' that researches, codes, designs, and deploys end-to-end workflows autonomously. Spins up specialized sub-agents across Claude, Gemini, Grok, and other top models to complete multi-step tasks.
Vercel's AI UI generation tool. Generates React components and full pages from natural language prompts using shadcn/ui and Tailwind CSS. Paste screenshots to reproduce designs.
AI web app builder by StackBlitz. Generates full-stack applications from natural language using WebContainers (Node.js in the browser). Deploy instantly to Netlify.
AI copilot embedded across all SAP enterprise products — ERP, supply chain, HR, and finance. Provides 15+ AI agents for business process automation and natural language querying of enterprise data.
AI-powered hiring and talent matching platform. Uses AI to screen, evaluate, and match candidates at scale. Over 30K contractors, on track for $500M ARR.
No-code AI database and application platform. Omni conversational builder enables non-technical users to create AI-powered workflows, databases, and applications through natural language.
AI writing assistant built specifically for fiction authors — generates plot ideas, expands scenes, suggests rewrites, and helps overcome writer's block. Used by tens of thousands of novelists, including bestselling authors who treat it as a co-writer rather than autopilot.
Answer engine optimization (AEO) platform — tracks how your brand is cited across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot, analyzes the sources AI models use, and recommends actions to improve AI-search visibility. The category leader in AEO.
Data-driven on-page SEO platform — Content Editor with a real-time optimization score, SERP Analyzer, AI writer, audit, and keyword research, now extended with answer-engine-optimization features for AI search visibility.
Market-leading AI video clipper — turns one long video into many viral vertical shorts with automatic highlight selection, speaker reframing, animated captions, viral-score ranking, and direct scheduling. Over 10 million users.
Social media management platform with an AI Assistant — schedule and publish across major networks, and brainstorm, rewrite, and repurpose a single idea into platform-native posts. Popular with creators, small businesses, and agencies.
AI writing assistant for grammar, style, tone, and clarity. Available as a browser extension across every web app. Generative AI features for drafting and rewriting.
AI-powered presentation and document builder. Generate polished slide decks from a text prompt in seconds. Flexible templates with strong design defaults.
AI meeting recorder and note-taker with 40+ language support. Captures video, generates transcripts, identifies action items, and integrates with CRMs.
Real-time AI meeting transcription for Zoom, Google Meet, and Teams. Auto-generates summaries, action items, and searchable transcripts.
Enterprise AI writing platform for marketing teams. Brand voice training, multi-channel content generation, SEO optimization, and team collaboration.
AI website builder that generates a complete business website in 30 seconds. Includes CRM, invoicing, and AI-generated copy for small businesses.
AI-powered project management and collaboration platform. Generate task lists, mind maps, and flowcharts. Multi-agent AI assistants for team workflows.
AI web app builder (formerly GPT Engineer). Generates production-ready full-stack applications from natural language. Focuses on design quality and instant deployment.
Enterprise AI content platform with proprietary Palmyra LLM. Brand-consistent content generation, governance controls, and enterprise security. Used by Fortune 500 companies.
Google's cloud storage with 15GB free. AI-powered search, Gemini integration for file Q&A, and native collaboration in Docs, Sheets, and Slides.
Microsoft's cloud storage integrated with Windows 11 and Microsoft 365. Copilot AI can analyze files stored in OneDrive via Word, Excel, and Teams.
Cloud storage with AI-powered search, document summarization (Dropbox Dash), and team collaboration. Strong desktop sync and third-party app integrations.
Frontend cloud platform. Zero-config Next.js deployment, preview URLs, Edge Functions, global CDN. Credit-based Pro pricing ($20/mo + $20 credits).
Web hosting platform with AI Gateway, Observability, Prerender GA. Split testing, Identity, form handling. Major Vercel competitor.
Dominant payment platform. Agentic Commerce Suite for AI agent payments, Orchestration, stablecoin accounts. 2.9% + $0.30/tx. Global payouts to 58 countries.
Google's app development platform. Firebase Studio (agentic dev), AI Logic with Gemini 3, Firestore (NoSQL), Auth, Storage, Cloud Functions.
Enterprise cloud content management with Box AI for document Q&A, contract analysis, and knowledge extraction. Strong security and compliance certifications.
The industry-standard object storage for developers and enterprises. Infinitely scalable, 99.999999999% durability, and deeply integrated with the AWS AI/ML ecosystem.
Low-cost S3-compatible object storage at 1/5 the price of AWS S3. Popular for AI training data storage, media backups, and cost-sensitive applications.
AI answer engine that searches the web in real time and cites sources. Perplexity Pro includes Deep Research for multi-step research reports with 20+ sources.
OpenAI's agentic research feature that spends 5–30 minutes searching, reading, and synthesizing hundreds of sources into a comprehensive report.
Google's multi-step research agent that creates detailed research plans, browses the web autonomously, and produces cited reports in Google Docs format.
AI enterprise search platform for finance and legal. Matrix multi-agent system enables knowledge workers to analyze and reason over large document sets with structured AI-powered workflows.
AI-optimized search API for LLM agents and applications. Returns clean, structured search results optimized for RAG pipelines. Preferred by LangChain users.
Enterprise AI search platform connecting all company apps (Slack, Drive, Confluence, Jira, etc.). AI-powered answers grounded in company knowledge with full access control.
Expert-call platform with AI-generated transcripts and summaries — used by management consultants, hedge funds, and corporate strategy teams for primary research.
AI for scientific paper analysis, literature review, and writing — extracts answers from PDFs and helps researchers explore citation networks.
AI research assistant specialized for academic literature. Searches 125M+ papers, extracts key data from PDFs, and summarizes findings across multiple studies.
AI search engine for scientific research. Finds and synthesizes evidence from peer-reviewed studies. Generates consensus summaries across multiple papers.
AI-powered search engine with multiple research modes. YouResearch generates long-form reports, YouCode focuses on programming questions.
Turn any website into clean markdown or structured data for LLMs. Handles JavaScript rendering, crawling, and extraction. Built specifically for AI applications.
Cloud platform for web scraping and browser automation with 1,500+ pre-built scrapers. Strong for large-scale data extraction and automation pipelines.
No-code web scraping tool. Train a robot by example and schedule automated data extraction from any website. Monitors for changes and sends alerts.
B2B data enrichment and lead intelligence platform. Access 275M+ contacts with verified emails, phone numbers, and company data for sales prospecting.
Real-time SERP (Search Engine Results Page) data API. Extract Google, Bing, YouTube, and other search engine results for AI applications and research.
AI-powered web extraction that automatically identifies and extracts structured data from web pages. Includes a knowledge graph of 10B+ entities.
Composable APIs for building and deploying cloud-hosted AI agents at scale — Anthropic handles orchestration, scaling, and monitoring (public beta)
Open-source workflow automation with 400+ integrations and native AI agent support. Self-hostable for full data control. Ideal for technical teams building complex automations.
Salesforce autonomous AI agent platform — 12,000+ customers live, $500M+ annualized revenue. Agent Studio enables no-code agent building. SDR Agent qualifies leads, Service Agent handles tickets, Sales Coach provides real-time guidance. Built on Einstein 1 Platform with native CRM data access.
Open-source orchestration platform that manages AI agent teams using an org chart structure with budgets, goals, and governance
The first fully autonomous AI software engineer. Plans, writes, debugs, and deploys code end-to-end from natural language. Can use browser, terminal, and editor simultaneously.
Production-grade agent orchestration framework by LangChain. Models agent logic as stateful directed graphs with durable execution, human-in-the-loop checkpoints, and persistent memory. v1.0 reached early 2026.
Anthropic's official SDK for building custom AI agents with Python and TypeScript. Built-in file operations, shell commands, web search, and MCP integration. Sub-agents, background tasks, and Xcode integration.
Enterprise AI customer service agents by Bret Taylor (ex-Salesforce CEO). Handles customer interactions across voice, chat, and email with human-level quality. $100M ARR in 21 months.
ServiceNow AI assistant integrated across IT, HR, customer service, and security workflows. AI Agent Studio for no-code/low-code/pro-code agent building. Enhanced by $2.85B Moveworks acquisition (Dec 2025) adding enterprise search and agentic Reasoning Engine. Used by 85% of Fortune 500.
Google's personal always-on agentic assistant — built on Gemini 3.5 Flash, integrates with Gmail and Workspace, monitors user-set triggers around the clock and dispatches multi-step actions across apps. Announced at Google I/O 2026 and rolling to trusted testers.
Visual workflow automation platform (formerly Integromat). 1,800+ app integrations, drag-and-drop scenario builder, and AI modules for GPT, image gen, and more.
The most widely used automation platform with 7,000+ app integrations. AI features include natural language Zap creation, Zapier Agents, and AI-powered steps.
The dominant open-source framework for building LLM-powered applications and agents. Python/JS libraries plus LangSmith for tracing and LangGraph for complex agents.
Community-governed open-source multi-agent framework, originally created by Microsoft Research as AutoGen. Build systems where multiple AI agents collaborate, debate, and solve problems together.
Framework for orchestrating teams of AI agents with role-based assignments. Agents can use tools, delegate tasks, and collaborate on complex multi-step workflows.
No-code platform for building AI agents and automating business workflows. Build a "workforce" of AI agents for sales, support, research, and operations.
Cohere enterprise agentic AI platform (launched summer 2025) deployed entirely behind customer firewalls. Built on Command A (111B, 256K context). Customers include RBC, Dell, and LG CNS. No data leaves your infrastructure — critical for regulated industries.
HubSpot AI platform with 20+ agents — Customer Agent (50%+ ticket resolution), Knowledge Base Agent, Prospecting Agent, Content Agent. Breeze Studio for custom agent building (GPT-5 default). Audit Cards show CRM actions. 288,000+ paying customers; $3.1B revenue (2025).
Revenue intelligence platform — records, transcribes, and analyzes every sales conversation. AI Call Reviewer grades reps on org-specific methodology. Mission Andromeda (Feb 2026) adds Gong Enable, AI coaching chatbot, and open MCP connections. $300M+ ARR; 5,000+ customers. 2025 Gartner Leader.
Customer service AI replacing Answer Bot — resolves 80% of support issues with outcome-based pricing (pay per automated resolution). Intelligent Triage auto-classifies tickets. Forethought acquisition ($200M+, March 2026) adds self-improving agentic AI.
Intercom AI customer support agent — resolves up to 82% of support volume (up from 40-50% in v1). 99.9% accuracy. Omnichannel: chat, email, WhatsApp. Procedures enable multi-step workflows via natural language. $0.99 per resolution pricing. 40M+ conversations resolved.
Workday AI platform with 7+ agents for HR and finance — contingent sourcing, contract intelligence, contract negotiation, document-driven accounting, frontline management, self-service. Enhanced by $1.1B Sana acquisition (Nov 2025). Sana for Workday adds AI knowledge discovery.
Microsoft's unified enterprise platform for building and governing AI agents. Replaces AutoGen (2026). Consolidates agent development under a single framework with enterprise security and compliance.
Enterprise AutoML and AI governance platform that automates the full ML lifecycle. Agent Workforce Platform for building AI agent workforces. 2025 Gartner Leader for Data Science & ML.
Open-source framework specialized for building RAG (Retrieval-Augmented Generation) systems and data-aware LLM applications. Strong for enterprise knowledge bases.
OpenAI's official framework for building multi-agent systems with tool use, handoffs between agents, and built-in tracing. Supports any model via the API.
Enterprise AI-agent control plane — build agents in Agent Studio, stress-test them in a simulation engine, and run them with observability, guardrails, and governance.
Enterprise AI application platform with 100+ pre-built applications for predictive maintenance, supply chain, fraud detection, and energy optimization. Includes C3 Generative AI for enterprise search.
AI-powered web optimization platform that autonomously generates, deploys, and tests UI variations to improve conversion rates through continuous A/B testing at scale.
Enterprise AI platform featuring Takane LLM for Japanese applications, computer vision, predictive analytics, and AI genomics for cancer treatment. Digital Annealer for optimization problems.
Structured hiring platform with AI-powered resume screening, candidate summaries, interview scorecards, bias detection, and job description generation. Serves ~4,000 companies.
Wearable AI pendant for continuous conversation capture and intelligent recall. AI-powered transcription, search, and summarization of daily conversations. Discontinued after Meta acquisition (Dec 2025).
Autonomous AI pilot for aircraft and drones. Operates without GPS, communications, or human direction. V-BAT drone deployed with US Coast Guard, Indian Army, and allied nations.
AI-powered voice communications platform with 60% growth. Intelligent call routing, conversational AI for customer service, and real-time voice analysis. Segment CDP for AI-driven personalization.
Open-source AI agent that autonomously runs ML experiments on a single GPU. Modifies training code, runs 5-minute experiments, keeps improvements, and discards failures — approximately 100 experiments overnight. 630 lines of Python, MIT licensed, 60,000+ GitHub stars.
Microsoft's chip-to-cloud platform for agent-first devices, unveiled at Build 2026 by Steven Bathiche. Builds hardware where AI agents — not apps — are the primary interface, on an enterprise Android base (MDEP) with reference designs. In early pilots with CVS Health, Target, Best Buy, Levi's, and AccuWeather.
OpenAI's computer-use agent that operates a web browser autonomously. Books restaurants, fills forms, completes online tasks on your behalf.
Anthropic's API capability for controlling desktop computers. Claude can view screenshots, move the mouse, click, and type to complete complex workflows.
Perplexity's agentic assistant that can perform tasks autonomously using phone and web interfaces. Available on Android with iOS support planned.
Microsoft Copilot's screen-reading capability that can see and understand what you're looking at on screen and help complete tasks in real time.
Google DeepMind's agentic capability for Gemini 3 Pro and Flash — screenshot-and-click GUI interaction for automating software with no API (preview)
OpenAI's built-in web browsing capability in ChatGPT. Searches the web, reads pages, and synthesizes information with real-time access.
Anthropic's Chrome extension that lets Claude read and interact with web pages. Ask questions about any page or have Claude help complete browser-based tasks.
Perplexity's browser extension for contextual AI assistance while browsing. Get instant answers and summaries about any page you're reading.
Copilot built into Microsoft Edge. Summarize pages, compare products, generate text in sidebars, and ask questions about the current page content.
The leading managed vector database for AI applications. Serverless pricing, 99.99% SLA, and billions of vectors at millisecond query speeds. Widely used in production RAG systems.
PostgreSQL-based vector storage using the pgvector extension. Seamlessly combines traditional relational data with vector search in a single database.
ESRE (Elasticsearch Relevance Engine) for retrieval-augmented generation. Hybrid vector + keyword search combining traditional full-text with semantic vector search in a single platform.
Serverless Postgres. Scale-to-zero, database branching, PostgreSQL 18, Neon Auth. 100 free projects. Rust Data API for performance.
Databricks' fully managed serverless Postgres for AI apps and agents — built on Neon, with zero-copy branching, scale-to-zero, pgvector, and native lakehouse sync.
Vector search built into MongoDB Atlas. Store, index, and query vector embeddings alongside your existing MongoDB data without a separate vector database.
In-memory vector similarity search built into Redis. Ultra-low-latency semantic search, LLM response caching, and real-time recommendations using the world's most popular data store.
Open-source vector database with built-in vectorization, hybrid search (vector + keyword), and GraphQL API. Can be self-hosted or used via Weaviate Cloud.
Open-source embedding database designed for AI applications. Simple Python API, runs in-memory or on-disk, and integrates natively with LangChain and LlamaIndex.
High-performance open-source vector database written in Rust. Supports filtering, payload storage, and scalar quantization. Available managed or self-hosted.
Anthropic's new public flagship — a Mythos-class model that is state-of-the-art on nearly every capability benchmark, from software engineering to scientific research, with safeguards that fall back to Opus 4.8 on sensitive cyber and bio requests.
Anthropic's near-frontier flagship (July 2026) — close to Claude Fable 5's intelligence at half the price and number one on Artificial Analysis at launch, with token efficiency as its headline: comparable results in fewer tokens and fewer turns than Opus 4.8.
The largest AI model hub hosting 1M+ models, 500K+ datasets, and 300K+ Spaces. Central infrastructure for the open-source AI ecosystem with inference API, model hosting, and collaborative development.
Meta's flagship model from Meta Superintelligence Labs — multimodal (voice, text, image), powers Meta AI across WhatsApp, Instagram, Facebook, Messenger, and Ray-Ban glasses
Pre-optimized, containerized inference microservices for deploying AI models. Packages LLMs with TensorRT-LLM optimization into Docker containers with standard API endpoints — deploy optimized Llama, Mistral, and other models with a single Docker pull.
OpenAI's most capable agentic coding model. GPT-5.3-Codex is 25% faster than GPT-5.4 at coding tasks with full multi-step implementation. Codex-Spark runs on Cerebras hardware at 1,000+ tokens/sec for real-time coding.
Anthropic's most powerful model — 93.9% SWE-bench Verified, invite-only for cybersecurity defense through Project Glasswing ($100 million initiative with 50+ organizations)
Anthropic's most agentic mid-tier model — it plans and self-verifies multi-step tasks in fewer steps, approaching Opus 4.8 on cost-performance. It is the default model on Claude Free and Pro, with introductory API pricing of $2/$10 per million input/output tokens.
Google's speed-optimized frontier model — 78% SWE-bench, 1M context, ideal for high-volume coding and multimodal tasks.
Baidu's 2.4 trillion parameter unified multimodal model integrating text, image, video, and audio. Comparable to Gemini-2.5-Pro and GPT-5-High on 40+ benchmarks. Chinese-language leader.
Moonshot AI's flagship — a 2.8 trillion parameter mixture-of-experts model activating 16 of 896 experts per token, with a 1 million token context window and native vision. Beats Claude Opus 4.8 on most coding benchmarks; largest open-weights model from a Chinese lab. Weights due July 27, 2026.
AWS managed platform providing access to ~100 serverless foundation models plus 100+ via Marketplace — Claude, Llama, Mistral, Amazon Nova 2, and more. Nova 2 family (Lite + Pro) supports 1M token context. Nova Forge enables custom frontier model training from Nova checkpoints. RAG-enabled agents with Lambda integration. Enterprise privacy guarantees.
TII's open-source model family (1B-10B params, 14T tokens). Falcon3-10B leads Hugging Face for models under 13B. Includes multimodal variants, Falcon Arabic, and Falcon-Edge (1-bit) for ultra-low-power deployment.
Mistral's most capable model. 675B total MoE (41B active), 256K context, multimodal. Top open-source coding model on LMArena. Roughly half the cost per token of GPT-5.1. Modified MIT license.
MiniMax's latest foundation model. Company IPO'd in Hong Kong (Jan 2026, $620M raised). Consumer AI focus with 100M+ users. Backed by Alibaba, Tencent, and Abu Dhabi Investment Authority.
First open-source reasoning model matching OpenAI o1. MIT license. R1-0528 adds JSON output and function-calling. Distilled variants 1.5B-70B. Banned on gov devices in multiple countries.
Cohere's flagship enterprise model. 111B parameters, 256K context, runs on just 2 GPUs. Matches GPT-4o on enterprise agentic tasks. Includes Translate (23 languages SOTA) and Reasoning variants.
Anthropic's autonomous coding CLI — multi-step coding, debugging, git integration, and MCP tool use, powered by Claude Opus and Sonnet.
Meta's open-weight frontier model family. Maverick: MoE 400B/17B active, 1M context, 1,417 Elo. Scout: 10M context. Most-downloaded open-weight models. Community license (free under 1M MAU).
OpenAI's flagship model family, generally available July 9, 2026 across ChatGPT, Codex, and the API. Three durable tiers — Sol (flagship), Terra (balanced), Luna (fastest/cheapest) — each with a ~1.05M context window, plus an ultra mode that coordinates subagents. Reports state-of-the-art Terminal-Bench 2.1 (88.8%, ultra 91.9%) and Agents' Last Exam (53.6), but all scores are vendor-reported and no SWE-bench Pro number is published (where Claude Fable 5 led the prior generation).
Google DeepMind flagship model (Feb 2026). 94.3% GPQA Diamond (highest ever), 77.1% ARC-AGI-2, #1 on 12+ benchmarks. 1M token context, native multimodal input (text, image, video, audio), Deep Think reasoning mode. Available via Vertex AI Model Garden and Google AI Studio.
SpaceXAI's July 2026 flagship on the 1.5-trillion-parameter V9 foundation, trained alongside Cursor. An 'Opus-class' coding model — competitive with Claude Opus 4.8 and far more token-efficient, at $2 input / $6 output per million tokens.
A flagship-tier Anthropic model, now positioned just below Claude Fable 5 — sharper uncertainty handling, Dynamic Workflows for hundreds of parallel subagents, and a Fast mode at 2.5-times speed.
Learned world model from Odyssey that supports real-time multi-agent shared simulation — up to four humans or AI agents in the same generated environment. Decouples simulation from rendering via a diffusion-transformer architecture. Launched May 19, 2026; targets gaming, robotics, defense, and multi-agent reinforcement learning research.
OpenAI's first open-weight model (Apache 2.0), 20B+ parameters for on-premise and edge deployments.
NVIDIA's parallel computing platform and programming model for GPU-accelerated computing. The foundation of the AI software ecosystem — every major framework (PyTorch, TensorFlow, JAX) is deeply optimized for CUDA. Free for all developers.
Open-source library for optimizing large language model inference on NVIDIA GPUs. Powers NIM's performance with automatic batching, quantization (FP8, INT4), KV cache optimization, and multi-GPU scheduling for production deployments.
Open-source machine learning framework designed specifically for Apple Silicon. Takes advantage of unified memory architecture so CPU, GPU, and Neural Engine share the same memory pool — enabling efficient local inference of large language models on Mac.
Google's open-source model family (1B-27B) with 128K context, strong multilingual support, and on-device deployment.
Apple's on-device machine learning framework for deploying trained models on iPhone, iPad, Mac, Apple Watch, and Apple TV. Supports conversion from PyTorch and TensorFlow via coremltools, and leverages Neural Engine, GPU, and CPU for optimized inference.
Microsoft's small-but-powerful open model family (MIT license). Phi-4 excels at reasoning and math at small size. Variants: Phi-4-multimodal (5.6B, speech+vision+text), Phi-4-mini (3.8B), Phi-4-reasoning (14B). On-device capable.
Moonshot AI's current flagship — a 1 trillion parameter MoE model (32B active) with 262K context, native INT4 quantization, and an Agent Swarm system scaling to 300 sub-agents and 4,000 coordinated steps in 12-hour autonomous coding sessions. Open-weights under Modified MIT License. Ranks 2nd on OpenRouter.
Privacy-first personal intelligence system built into iOS, iPadOS, and macOS. Features include Writing Tools, Image Playground, Genmoji, notification summaries, and enhanced Siri — processing on-device via Apple Silicon with Private Cloud Compute for complex tasks.
Amazon's frontier multimodal model family. Nova Premier for complex enterprise workloads, Nova Lite for cost-optimized multimodal, Nova Micro for fastest/cheapest text-only. Nova Forge SDK (March 2026) enables fine-tuning within Bedrock.
Moonshot AI's 1 trillion parameter MoE model (32B active). 256K context, multimodal (15T mixed tokens). Beats GPT 5.2 on SWE-Bench Multilingual and Claude Opus 4.5 on VideoMMU.
Meituan's open-source 1.6 trillion-parameter mixture-of-experts model for agentic coding (about 48 billion active per token, 1 million-token context). Trained and run entirely on domestic Chinese chips, it scores 59.5 on SWE-bench Pro — edging out GPT-5.5 — and has been leading OpenRouter. Open-weights on Hugging Face.
StepFun's flagship 198-billion-parameter mixture-of-experts vision-language model with 256,000-token context, 400 tokens-per-second throughput, and Apache 2.0 open weights.
Mistral's coding specialist. 123B params scoring 72.2% on SWE-bench Verified, claims 7x more cost-efficient than Claude Sonnet. Devstral Small 2 (24B, Apache 2.0) scores 68%. Includes Vibe CLI.
Efficient MoE model — 119 billion total parameters, 128 experts, approximately 6.5 billion active per token, 256,000 token context, Apache 2.0 license
Zhipu AI's 744B MoE model (256 experts, 44B active). 200K context, MIT license. Trained entirely on Huawei Ascend chips with zero NVIDIA dependency. Zhipu IPO'd in Hong Kong ($558M).
Alibaba's reasoning model (Apache 2.0). 32B parameter chain-of-thought specialist. Part of the broader Qwen3.5 family. Competes with larger models on math and logic benchmarks.
Cohere open-weight 3.35B-parameter multilingual models for 70+ languages. Regional variants: Global, Earth (Africa/Middle East), Fire (South Asia), Water (Asia-Pacific/Europe). Designed for laptops and edge devices. Apache 2.0 license. Complements Command A for resource-constrained deployment.
NTT's 30B parameter Japanese-optimized model. Runs on a single H100 GPU. Selected for Japan's government Gennai platform serving 180,000 staff.
Cohere's open-source multilingual model supporting 23 languages. Now expanded with Aya Vision (multimodal) and Tiny Aya (3.35B, 70+ languages for edge/laptop deployment).
Upstage's 31B parameter model that beats GPT-4.1 on the Artificial Analysis Intelligence Index (score 58). Targeting Korea's first generative AI IPO in H2 2026.
India's sovereign AI model — 105B parameters trained from scratch on government-subsidized GPUs. Supports all 22 official Indian languages. Competitive with global benchmarks.
OpenAI's new agentic flagship (April 23, 2026), replacing GPT-5.4. Leads frontier models on Terminal-Bench 2.0 (82.7%), GDPval (84.9%), OSWorld-Verified (78.7%), and FrontierMath Tier 4 (35.4%). Three variants: standard, Thinking, Pro (90.1% BrowseComp). ~1M context. Available now in ChatGPT Plus/Pro/Business/Enterprise; API rolling out in the coming weeks at a reported $5 in / $30 out per million tokens.
Thinking Machines Lab's first in-house model — a multimodal mixture-of-experts system with 975 billion total parameters (about 41 billion active per token), trained on 45 trillion tokens of text, image, audio, and video, with a context window up to one million tokens. Ships under Apache 2.0; pitched as a base to fine-tune via Tinker rather than a leaderboard entry.
Oracle Cloud Infrastructure AI services. GPU supercluster partnership with NVIDIA, enterprise AI applications, and Cerner health AI. Major cloud competitor for AI training workloads.
AI21 Labs' hybrid SSM-Transformer model optimized for long-context enterprise applications. Available on Amazon Bedrock. Efficient architecture for high-throughput production workloads.
Leading GPU cloud infrastructure for AI/ML. Largest independent GPU fleet (NVIDIA-backed). Purpose-built for AI training and inference with bare-metal performance at cloud scale.
Liquid Foundation Models (LFM) — open-weight mixture-of-experts models engineered for on-device inference. Current flagship LFM2.5-8B-A1B has 8 billion total parameters with roughly 1 billion active per token, was pretrained on 38 trillion tokens, and runs with a 128,000-token context window on a laptop or a flagship smartphone via llama.cpp, MLX, vLLM, SGLang, or ONNX. Open-weight with no use restrictions; ideal when you need flagship-mini quality at the edge instead of in a hyperscaler data center.
Ant Group / InclusionAI's 1 trillion parameter open-weights model under MIT license — hybrid MLA + Linear Attention, 262,144-token context, 72.2 on SWE-bench Verified.
Open-weight 8.4 billion-parameter mixture-of-experts model from Zyphra with only 760 million active parameters at inference. Matches DeepSeek-R1 on AIME 2026 (89.1) and HMMT (71.6); competitive with Claude Sonnet 4.5 on reasoning. First frontier-quality math model trained entirely on AMD Instinct MI300X. Apache 2.0 license.
A frontier research lab training foundation models and agents on gameplay video to master spatial and temporal reasoning, with first applications in gaming and search-and-rescue drones. First product expected late summer 2026.
Anthropic's most capable generally available model — leading SWE-bench Verified (87.6%), 3.75 megapixel vision, xhigh effort level, and task budgets for agentic work.
Anthropic's fastest and most efficient Claude model — built for quick, high-volume tasks at low cost. It is the first Claude generation to score 0% on the agentic-misalignment benchmark, inheriting the family's safety profile.
xAI's flagship model. 2M token context (largest available), 1,483 LMArena Elo, real-time X/Twitter data access. Grok 4 Heavy achieves 50.7% on Humanity's Last Exam.
Anthropic's flagship model. 1M token context (GA March 2026), OSWorld 72.7%, MRCR v2 78.3%. $5/$25 per million tokens. Powers Claude Code for agentic coding workflows.
Samsung's on-device AI suite built into Galaxy smartphones. Live Translate, Circle to Search, Chat Assist, Note Assist, and Generative Edit. Runs locally on Samsung Gauss models.
Amazon platform for building custom frontier models from Nova checkpoints using proprietary data. Mix your enterprise data with Nova foundation weights to create specialized models — unique among cloud providers. Includes training, evaluation, and deployment tools within AWS Bedrock.
Weibo AI's 3.1B-parameter open reasoning model (MIT, built on Qwen2.5-Coder-3B). Runs on a single consumer GPU; posts strong but contested math and coding-reasoning benchmark scores.
Mistral's open Apache-2.0 model for formal mathematical proof in Lean 4 — a mixture-of-experts specialist that aces the miniF2F benchmark and finds real software bugs.
Portugal's first government-backed open-source LLM, built for European Portuguese — a 9-billion-parameter sovereign model released fully open (weights, data, and code).
Joint Embedding Predictive Architecture (JEPA) framework for building world models that learn abstract representations — an alternative paradigm to autoregressive LLMs.
Japan-optimized AI models for manufacturing and enterprise applications. Built by Transformer paper co-author Llion Jones. Efficiency-focused approach inspired by natural swarm intelligence.
Multimodal foundation model family powering AI across Tencent's ecosystem (WeChat, QQ, Tencent Cloud). Supports text generation, image creation, and video understanding for 1.3B+ WeChat users.
MAI-Thinking-1 is Microsoft's first in-house frontier reasoning model, unveiled at Build 2026. A roughly 35-billion-parameter model with a 256K-token context window, Microsoft says it matches Anthropic's Claude Opus 4.6 on the SWE-Bench Pro coding benchmark. It is the flagship of a new family of seven first-party MAI models and is in private preview on Azure AI Foundry.
Flourish is a New York research lab building brain-inspired "Cortex AI" models aimed at radical energy efficiency — targeting roughly 20 to 50 watts versus the hundreds drawn by today's AI accelerators. Co-founded by Internet Explorer creator and CTRL-labs founder Thomas Reardon, it emerged from stealth in 2026 with $500 million at a $2.5 billion valuation, backed by Jeff Bezos. No commercial product yet.
The largest fleet of cloud-accessible quantum computers plus the widely used Qiskit toolkit — from a free tier to enterprise, with a public roadmap to a fault-tolerant machine by 2029.
Leading trapped-ion quantum computer. 36-qubit system demonstrated practical quantum advantage (12% over classical HPC). Roadmap to 256 qubits (2026).
Trapped-ion quantum computers with the highest commercial gate fidelity (Helios, 99.921%); built for Generative Quantum AI. The largest quantum IPO to date (Nasdaq: QNT).
Alphabet's quantum research group behind the Willow chip — first to show below-threshold error correction and verifiable quantum advantage — plus DeepMind's AlphaQubit AI error decoder.
The open-source AI and GPU layer the quantum industry plugs into — hybrid quantum-classical programming, GPU simulation, and real-time AI error decoding via NVQLink.
AWS's vendor-neutral quantum cloud — run the same program on trapped-ion, superconducting, and neutral-atom machines from multiple providers, billed through AWS.
Microsoft's second-generation topological quantum chip, unveiled at Build 2026 with a reported ~1,000-fold qubit-reliability gain over Majorana 1. Notably designed and fabricated with help from Microsoft's agentic Discovery platform — an example of AI accelerating frontier science. The underlying physics remains contested.
The leader in quantum annealing for optimization — Advantage2 (4,400+ qubits) on the Leap cloud — now the only company with both annealing and gate-model platforms (NYSE: QBTS).
Superconducting quantum processors built from tiled chiplets — the 108-qubit Cepheus validates scaling past 100 qubits; on Braket, Azure, and the on-prem Novera (Nasdaq: RGTI).
Photonic quantum computing (Aurora, Borealis) plus PennyLane — the leading open-source quantum machine-learning framework, cross-compatible with PyTorch, TensorFlow, and JAX (Nasdaq: XNDU).
Neutral-atom quantum computing (Aquila, 256 qubits on AWS Braket) with standout 2025 fault-tolerance results and a Transformer-based AI error decoder built with NVIDIA.
French neutral-atom quantum computing (Orion series, 140+ qubits) with one of the broadest commercial clouds; integrates NVIDIA NVQLink for hybrid quantum-classical AI.
Quantum control software that uses AI and reinforcement learning to suppress errors on others' hardware — its Fire Opal runs across AWS, IBM, and IonQ. The purest AI-for-quantum company.
A private, best-funded photonic quantum bet aiming straight for a million-qubit fault-tolerant machine built in commercial chip foundries. No product yet — a long-horizon roadmap.
Meta's first AI glasses with a built-in in-lens display, controlled by the Meta Neural Band EMG wristband. $799, shipping in the US — the category's mainstream leader.
Meta's first self-branded smart glasses — Fury and Adventurer at $299 and a Kylie Jenner Starfire edition at $399. Camera-and-audio glasses (no display) running Meta AI; the mass-market tier below the Meta Ray-Ban Display.
Snap's standalone consumer AR glasses running Snap OS 2.0 on dual Snapdragon chips, with a 51-degree field of view and electrochromic lenses. $2,195, shipping fall 2026.
Google's Gemini-powered smart glasses built on the Android XR platform with Samsung, Warby Parker, and Gentle Monster. Audio and display models shipping fall 2026; pricing not yet announced.
The most widely used public AI leaderboard, where millions of human votes rank models on text, coding, vision, image generation, and agents. Spun out of UC Berkeley, Arena (formerly LMArena / Chatbot Arena) pairs a free public leaderboard with a paid evaluations service that AI labs and enterprises use to benchmark and improve their models.
LLM and agent observability, evaluation, and debugging from LangChain — traces every step of an AI app, runs systematic evals, and manages prompts so teams can ship reliable AI.
AI evaluation and agent-testing platform: scores LLM outputs for hallucinations and safety, benchmarks them on custom criteria, and stress-tests AI agents in simulated "Digital World" environments before they reach production.
Free mobile app connecting blind and low-vision users to AI vision (Be My AI, GPT-4-powered) and a 10-million-strong network of sighted volunteers; integrated into Ray-Ban Meta and Oakley Meta smart glasses.
Reading-accessibility tool built into Microsoft apps — text-to-speech, line focus, syllable and part-of-speech breakdown, spacing, and translation to support readers of all abilities.
A small set of AI utilities popular for executive-function support — breaks overwhelming tasks into steps, estimates effort, and adjusts message tone. Loved by neurodivergent users.
Free, open-source autonomous AI agent with 247,000+ GitHub stars. Runs locally, uses messaging platforms as UI. LLM-agnostic, 100+ built-in skills, persistent memory, proactive scheduling, extensible via ClawHub.ai marketplace.
Open-source end-to-end framework for building, customizing, and deploying generative AI models. Includes NeMo Curator (data), Customizer (fine-tuning), Guardrails (safety), and Evaluator.
Agent-first IDE (VS Code fork). Manager View dispatches 5+ agents simultaneously. Artifacts, multi-model support. Free for individuals.
AI-native IDE built on Code OSS with spec-driven development (EARS notation), agent hooks, native MCP, steering files, and GovCloud availability.
Open-source terminal coding agent powered by Devstral 2 with custom subagents (TOML config), slash-command skills, MCP support, and on-premise deployment.
Pivoted from IDE extension to Continuous AI — open-source CLI running async agents on every PR. GitHub/Sentry/Snyk integration. Free.
Most popular local model runner. One command to download and run LLMs locally. v0.18.2 with web search, cloud models, Windows ARM64. REST API.
Open-source git-integrated AI coding CLI. Every AI change auto-committed with explanatory message. Works with any LLM. Apache 2.0.
Open-source MCP-native coding agent by Block, donated to Linux Foundation AAIF. Model-agnostic, Desktop + CLI. 29,400+ GitHub stars. Apache 2.0.
Desktop app for discovering, downloading, and running open models locally — GGUF via llama.cpp on Mac, Windows and Linux, plus Apple MLX on Apple silicon, with an OpenAI-compatible local server. Bionic (July 2026) adds an agent for coding, research and document work on open models, with zero data retention.
Block's open-source, Nostr-based team chat where humans and AI agents collaborate in the same channels, with built-in Git hosting — an AI-native, self-hostable alternative to Slack.
AI-native IDE with Cascade for agentic multi-file editing. Generous free tier with AI autocomplete, chat, and coding assistance. Major competitor to Cursor. Supports VS Code and JetBrains.
AI-native code editor with Composer for agentic multi-file coding, embedded browser testing, and custom AI models. $2 billion+ ARR, 1 million+ daily active users, used by over half the Fortune 500. Supports GPT, Claude, and Gemini models. SpaceX secured a $60 billion option to acquire Cursor in April 2026.
SpaceXAI's terminal coding agent — a full-screen interface that reads a codebase, edits files, runs shell commands, and manages long-running tasks, with Grok 4.5 as the default model. Roughly 844,000 lines of Rust published under Apache 2.0 in July 2026 after security researchers found the agent uploading developers' entire Git repositories. Source-transparent, but contributions are refused.
Open-source AI coding agent from Google. Routes between Gemini 3.1 Pro and Flash models. 1M token context, plan mode, subagent support, parallel tool scheduling. Free daily limit.
OpenAI's dedicated security agent — scans codebases for vulnerabilities, suggests contextual fixes, integrates with CI/CD pipelines (part of Codex Pro $100/month)
Cloud IDE with Ghostwriter AI assistant and Replit Agent for building full applications from natural language. AI-powered code generation, debugging, and one-click deployment. 30M+ developers.
AI coding assistant with 100M+ token context windows for understanding entire codebases. Google Cloud partnership provides dedicated supercomputer infrastructure for training.
Open-source code search library purpose-built for AI coding agents — 98% fewer tokens than grep-plus-read at higher recall, with sub-2-millisecond query latency.
AI coding foundation model built specifically for software engineering. Founded by ex-GitHub VP Jason Warner. Trained on code with reinforcement learning from code execution.
Enterprise AI coding assistant with SOC 2 Type II compliance and on-premise deployment. Backed by Eric Schmidt. Designed for large development teams with strict security requirements.
AI prompt-to-code tool that turns text descriptions or designs into working React/Tailwind prototypes. AI agents write directly to Figma files using design system components, variables, and tokens. Code Connect UI maps designs to GitHub repos.
AI-powered DevSecOps suite with code suggestions, vulnerability resolution, test generation, and autonomous Planner Agent. Works across the full software development lifecycle in a single platform.
AI coding assistant integrated across all JetBrains IDEs. Features code completion, explanation, refactoring, Recap, Insights, Next Edit Suggestions, and Claude Agent integration.
Privacy-first AI code completion with on-premise deployment for regulated industries. Custom model fine-tuning on proprietary code. Supports 80+ languages across VS Code, JetBrains, and Neovim.
Open-source frontier AI lab building large-scale Mixture-of-Experts models with reinforcement learning, focused initially on autonomous coding. Founded by ex-DeepMind researchers; raised $2 billion in October 2025. Selected by the Pentagon in May 2026 for IL6/IL7 classified-network deployment alongside NVIDIA, Microsoft, and AWS.
Google DeepMind's Gemini-powered coding agent that autonomously designs and optimizes algorithms via evolutionary search — deployed across quantum, genomics, logistics, and Google's own infrastructure.
Modular's AI-native programming language — Python superset that targets CPUs, GPUs, and AI accelerators from a single codebase. Hit 1.0 Beta on May 7, 2026.
MAI-Code-1-Flash is Microsoft's lightweight, in-house coding model built end-to-end for GitHub Copilot. Microsoft says it outperforms Anthropic's Claude Haiku 4.5 across its coding benchmarks — including a roughly 16-point lead on SWE-Bench Pro (51 percent versus 35 percent) — while using up to 60 percent fewer tokens. An adaptive-thinking mechanism scales reasoning effort to task complexity, and it rolls out to Visual Studio Code Copilot users via the model picker.
Cohere's first agentic coding model and first open-weights release — a 30 billion-parameter mixture-of-experts design (3 billion active) with a 256K context, Apache 2.0 weights on Hugging Face.
Moonshot AI's open-source coding tool with integrations for terminals, VS Code, Cursor, and Zed. Companion to the Kimi K2.5 model.
Tesla/SpaceX/xAI/Intel joint-venture chip foundry announced March 2026. $20-25 billion investment targeting 1 terawatt of AI compute output per year — the silicon backbone for FSD, Optimus, Dojo3, xAI training, and SpaceX orbital compute.
SpaceX's third-generation satellite platform — 1 Tbps per satellite, terabit-class laser mesh, 60 per Starship launch — designed to double as distributed orbital AI compute nodes. January 2026 FCC filing requests up to 1 million satellites functioning as orbital AI data centers.
Cisco's validated reference architecture for mass-scale AI data centers, co-engineered with NVIDIA. Combines Silicon One networking chips (G300 scale-out, P200 scale-across), 8000 Series and N9100/N9300 switches, and Hypershield security with NVIDIA accelerated computing — designed to connect AI accelerators scale-up in the rack, scale-out across rows, and scale-across between data centers hundreds of kilometers apart.
AI data infrastructure platform providing data annotation, model evaluation, and deployment services for enterprises and government. Remotasks and Outlier platforms for expert human feedback at scale.
Ultra-fast AI inference platform powered by custom LPU chips. Fastest token generation speeds in the industry for real-time applications. API access to major open-source models.
IBM enterprise AI platform spanning model training (watsonx.ai), data management (watsonx.data), and AI governance (watsonx.governance). Granite open-source models. ISO 42001 certified for regulated industries.
End-to-end AI server and infrastructure platform from the #1 AI server vendor. PowerEdge servers, networking, and storage optimized for NVIDIA GPU workloads with $64B in AI orders (FY2026).
AI inference and training platform for open-source models. Fast, low-cost inference for Llama, Mistral, and other models. Fine-tuning and custom training services.
Unified data intelligence platform combining data lakehouse with AI/ML. Includes Mosaic ML for model training, DBRX open model, and Unity Catalog for AI governance. Used by 10,000+ organizations.
AI/ML suite built into the Snowflake data cloud. Provides serverless LLM functions, vector search, fine-tuning, and ML model training directly within the data platform without moving data.
Monitor AI application performance, cost, and quality. Tracks LLM calls, token usage, latency, and error rates. Bits AI copilot provides natural language querying across all observability data.
High-performance AI model inference infrastructure backed by NVIDIA ($150M). Deploy, serve, and scale AI models in production with optimized GPU utilization and auto-scaling.
Photonic interconnect chip that uses light instead of electricity to connect AI processors in data centers. Dramatically reduces power consumption and latency for AI training and inference workloads.
The hub of open machine learning — hundreds of thousands of models and datasets, the Transformers library, and Spaces for demos. The default platform for finding, sharing, and running AI models.
The standard MLOps platform for experiment tracking, model evaluation, and (via Weave) LLM observability — logs every training run so AI development is reproducible and comparable.
The standard framework for transforming data in the warehouse (the "T" in ELT) — version-controlled SQL models with testing and docs, plus dbt Copilot for AI-assisted model and test generation.
AI governance platform — track every AI system, assess it against policies and regulations (EU AI Act, NIST AI RMF), and manage risk, so organizations can deploy AI responsibly and demonstrate compliance.
AI runtime for real-time interactive characters — gives game NPCs and app agents natural dialogue, memory, and behavior, so characters respond dynamically instead of following fixed scripts.
Energy-first AI cloud from Crusoe — NVIDIA GPU compute built on vertically integrated, power-first data centers, including OpenAI's 1.2-gigawatt Stargate campus in Abilene, Texas.
AI inference chips and full-stack platform built on SambaNova's Reconfigurable Dataflow Unit (RDU) architecture — an efficiency-focused, on-premises-friendly alternative to Nvidia GPUs for running large models and agentic AI.
Inference and fine-tuning platform for serving specialized open-source models at production scale — powered by the FireAttention kernel, speculative decoding, and the FireOptimizer adaptive engine. OpenAI-compatible API across Llama, DeepSeek, Qwen, and Mixtral.
Data platform for annotating, curating, and searching multimodal training data — images, video, audio, 3D point clouds, and sensor streams.
Distributed AI inference data center built from 16-GPU NVIDIA Blackwell compute nodes installed in homes and small commercial sites, using Span Panel headroom and the XSOL orchestration layer to deliver gigawatt-scale capacity faster and cheaper than centralized buildouts.
Multi-model API gateway routing requests across 400+ LLMs from Anthropic, Google, OpenAI, xAI, DeepSeek, and others. Unified API, consolidated billing, and a public model leaderboard.
The market-leading high-bandwidth memory that feeds Nvidia AI accelerators — SK Hynix supplies roughly two-thirds of Nvidia HBM4 for the Vera Rubin platform.
Huawei's latest AI accelerator. 1.56 PFLOPS FP4, featuring Huawei's in-house HBM memory. Claims 2.8x H20 performance. Part of roadmap targeting 4 zettaflops by 2028.
Sohu is Etched's transformer-specialized inference ASIC — a chip that hard-wires the transformer architecture on TSMC 4nm for far higher speed and lower cost than general-purpose GPUs on large-language-model inference.
Managed platform from the creators of Ray, the open-source engine for distributing AI workloads across thousands of GPUs — data processing, training, tuning, batch inference and serving on one shared resource pool.
Structure-aware document-intelligence OCR model — extracts text, tables, and layout across 170 languages, self-hostable in a single container, at $4 per 1,000 pages. Leads the OlmOCRBench benchmark.
Rack-scale data-center inference accelerators with very large LPDDR memory, the core of Qualcomm's 2026 push to challenge Nvidia on inference cost and an open software stack (via its Modular acquisition).
Serverless GPU inference platform running AI models at 300+ global edge locations. Supports text generation, image classification, embeddings, and speech recognition with zero cold starts.
World's largest container registry with millions of images including AI/ML frameworks. MCP Catalog offers 300+ verified AI server containers for the Model Context Protocol ecosystem.
On-demand NVIDIA H100 and A100 GPU cloud optimized exclusively for AI workloads. Pre-installed AI software stacks, persistent storage, and high-speed networking for training and inference.
Liquid-cooled GPU rack solutions optimized for NVIDIA H100/H200/B200 AI workloads. #2 AI server vendor globally. Purpose-built for AI data center power density and thermal requirements.
AMD's datacenter AI accelerator line. Currently shipping the MI355X (CDNA 4, 288 GB HBM3e, 8 TB/s); MI400 series (MI430X / MI440X / MI455X) announced at CES 2026 to compete with NVIDIA Vera Rubin. Major customer wins: Oracle Cloud (130k+ MI355X cluster), Microsoft Azure, OpenAI 6 GW supply deal, Meta, xAI.
AMD's open, permissively-licensed AI compute software stack — the deliberate counterweight to NVIDIA's CUDA moat. Currently ROCm 7.2.2; bundles vLLM 0.10.1; vLLM CI pass rate jumped from 37% (Nov 2025) to 93% (Jan 2026), the most-cited proof point of its maturation. Native PyTorch on Windows + Linux now in public preview.
AMD's on-device client-AI platform. Ryzen AI Max+ 395 (Strix Halo, January 2025) hits 50 TOPS NPU and 126 TOPS system-wide via the XDNA 2 architecture, with up to 128 GB unified memory enabling local inference of models up to ~70 billion parameters. Copilot+ PC certified. Ryzen AI 400 series announced at CES 2026.
AMD's server CPU line for AI inference. Currently shipping EPYC 9005 "Turin" (Zen 5, full-width AVX-512 with VNNI/BF16/FP16). Venice (Zen 6) launches H2 2026: TSMC 2nm, up to 256 cores / 512 threads, 1.6 TB/s memory bandwidth, ~1.7x perf vs Turin. The CPU-side companion to the new x86 ACE matrix-AI standard AMD co-authored with Intel.
NVIDIA's first CPU purpose-built for agentic AI workloads — architected to pair with GPU inference for autonomous agents that behave like users. CEO Jensen Huang has positioned Vera as a new $200 billion total addressable market alongside the existing GPU business; $20 billion in standalone sales already booked year-to-date.
Full-stack platform for training and running your own AI agents — compute, a reinforcement-learning framework, and evaluation tools as modular building blocks. Pitched at enterprises that want agentic systems without routing proprietary data through frontier labs.
Open-source primitives from Circle (USDC issuer) that let autonomous AI agents hold, discover, and spend USDC across blockchains — Circle CLI, Agent Wallets, Agent Marketplace, and gas-free Nanopayments down to one-millionth of a dollar.
AI inference platform powered by wafer-scale processors. Sub-second responses for models up to 70B parameters. The fastest inference for large language models.
Samsung's AI inference accelerator for edge computing. Part of Samsung's broader AI factory initiative with 50,000+ GPUs and $14.3B R&D center for AI semiconductors.
Industry-leading 51.2 Tbps Ethernet switch ASIC powering AI data center fabrics. Supports 800GbE ports for GPU cluster interconnects and large-scale AI training networks.
Enterprise platform for deploying generative AI on private infrastructure. Integrates GPU virtualization, Kubernetes orchestration via Tanzu, and curated open-source LLMs from NVIDIA and partners.
Extreme ultraviolet lithography systems — the only machines capable of manufacturing advanced AI chips at 3nm and below. Used by TSMC, Samsung, and Intel to fabricate every cutting-edge AI accelerator.
Thermodynamic Sampling Unit — a novel AI chip using probabilistic bits (p-bits) for more efficient AI computation. First working thermodynamic computing chip unveiled October 2025.
Global edge container platform with GPU instances for AI inference. Persistent VMs in 30+ regions, WebSocket support, and private networking. Ideal for real-time AI applications requiring low latency.
AI and cloud computing platform serving the Middle East. Building Stargate UAE (5GW AI campus) with OpenAI, Oracle, NVIDIA. Arabic-language AI models and regional AI infrastructure.
Enterprise AI cloud platform with Cray supercomputers, GPU-optimized servers, and as-a-service AI infrastructure. Supports AI training and inference workloads for large enterprises.
AI accelerator designed for training and inference workloads. Competes with NVIDIA GPUs. Available in major cloud platforms. Panther Lake NPUs deliver 50 TOPS for on-device AI.
High Bandwidth Memory chips powering AI accelerators including NVIDIA H200 and AMD MI300X. ~20% global HBM market share. Critical memory technology for AI training and inference.
Small Modular Reactor power plant for AI data centers. Factory-built 77 MW modules, scalable to 924 MW. 6 GW TVA deal. First commercial deployments expected 2027-2030.
Compact fast fission microreactor for AI data centers. Uses recycled nuclear fuel. 12 GW deal with Switch. Sam Altman-backed. NRC certification under review.
Modern PaaS with instant deployment, built-in PostgreSQL/MySQL/Redis/MongoDB, persistent servers, and GPU instances. Usage-based pricing ideal for AI APIs and agent systems.
Simple full-stack hosting with free tier including PostgreSQL, Redis, and background workers. Auto-deploy from GitHub. Modern Heroku alternative popular with AI application builders.
ARM chip architectures power most mobile AI inference globally. Neoverse server CPUs gaining data center traction. SoftBank majority-owned. Vision Fund portfolio includes dozens of AI startups.
RISC-V-based AI accelerator designed by Jim Keller (AMD Zen, Apple A-series architect). Open-source hardware architecture as alternative to NVIDIA GPUs. Chiplet-based flexible scaling.
World's most advanced semiconductor foundry. Fabricates 90%+ of cutting-edge AI chips (NVIDIA, AMD, Apple, Broadcom, Google). 3nm process for current and 2nm for next-gen AI accelerators.
Space-based data centers — satellites carrying GPUs on solar power, cooled by radiating heat to orbit. Flew the first NVIDIA H100 in orbit; gigawatt orbital compute is the roadmap.
Intel's Crescent Island is a data-center GPU built for AI inference on the Arc Xe3P architecture, with partner cards carrying up to 480 gigabytes of cost-optimized LPDDR5X memory instead of scarce high-bandwidth memory. Air-cooled at 350 watts and aimed at undercutting NVIDIA and AMD on inference cost. Expected to launch in the second half of 2026.
Supabase's official Model Context Protocol (MCP) server connects AI coding agents — Cursor, Claude, Windsurf, GitHub Copilot, and Cline — directly to a Supabase backend. It exposes more than 20 tools for querying the database, managing schemas and migrations, deploying edge functions, handling storage, and reading debug logs, all in natural language. The hosted server at mcp.supabase.com uses OAuth 2.1, so there are no API keys to manage.
Enflame CloudBlazer is the family of data-center AI accelerators from Shanghai chipmaker Enflame, built on its in-house DTU (Deep Thinking Unit) architecture with separate training and inference lines. Positioned as a domestic Chinese alternative to NVIDIA's data-center GPUs, it is backed by Tencent and tied to Enflame's mid-2026 Shanghai STAR Market IPO.
End-to-end autonomous vehicle platform. DRIVE Orin (254 TOPS, in production) and DRIVE Thor (2,000 TOPS, next-gen). Used by Mercedes, BMW, BYD, Hyundai. Over $20 billion pipeline.
Wayve builds AV2.0 — a camera-first, end-to-end neural network that learns to drive from data rather than HD maps, with robotaxi (Uber) and driver-assist (Nissan) launch partners.
AI weather forecasting from WindBorne Systems. The WeatherMesh model — trained on data from a global fleet of long-duration weather balloons — delivers hourly, 3-kilometer forecasts that beat the world's top numerical weather model on multi-day accuracy.
AWS AI coding assistant (rebranded from CodeWhisperer). Code suggestions, chat, code transformation (Java/NET upgrades), AWS infrastructure debugging, security scanning. Generous free tier.
Open-source foundation model for zero-shot image and video segmentation. Segment any object with a click, box, or text prompt. Real-time video tracking with occlusion handling. Apache 2.0 license.
Ultralytics' 2026 real-time vision family — one model for detection, segmentation, pose, classification, and oriented boxes across five sizes. NMS-free, faster CPU inference, plus the open-vocabulary YOLOE-26 extension. AGPL-3.0 + paid enterprise license.
Dominant open-source ML framework. Originally created by Meta AI Research, now governed by the Linux Foundation. Dynamic computation graphs, GPU-accelerated training, massive ecosystem (Hugging Face, Lightning). BSD license.
database.build (formerly postgres.new) is Supabase's in-browser Postgres sandbox with an AI assistant. Powered by PGlite — a WebAssembly build of Postgres that runs entirely in the browser — it lets you spin up unlimited databases, describe what you want in natural language to scaffold tables, drag and drop a CSV to auto-generate schema, and query with SQL. Version 2 adds bring-your-own-LLM support. It is free and open source.
Dominant edge AI computing platform. Orin Nano ($499, 67 TOPS) through AGX Orin (275 TOPS). Powers robotics, autonomous machines, and on-device AI.
NVIDIA's open-weight LLM family (340 billion to 4 billion parameters). Nemotron-4 Reward model widely used for synthetic data scoring. Llama-Nemotron-70 billion outperformed GPT-4o on key benchmarks.
Enterprise workflow AI platform automating IT service management, HR operations, and business processes with intelligent agents, predictive analytics, and natural language interfaces.
Robotic process automation (RPA) platform with AI capabilities for automating high-volume business processes like invoice processing, data entry, HR workflows, and compliance tasks.
GIS platform with embedded generative AI — natural-language query of spatial data, automated feature extraction from imagery, and predictive analytics for utilities, government, and infrastructure.
Autonomous drones for industrial inspection, public safety, and defense — Skydio's flight-stack AI handles obstacle avoidance, path planning, and target tracking without a pilot in the loop. Widely used for bridge, transmission-line, and building-envelope inspection.
Drone software platform for surveying, mapping, and construction site monitoring. AI-powered photogrammetry turns drone flights into 2D orthomosaics, 3D models, and progress reports tied to BIM.
Photogrammetry software for drone mapping, surveying, agriculture, and construction. AI-driven structure-from-motion turns aerial imagery into orthomosaics, digital surface models, and 3D point clouds.
360° construction site capture with AI that automatically maps photos to BIM coordinates, tracks progress, and surfaces deviations between as-built reality and the design model. Used by ENR Top 400 contractors.
AI-powered construction progress tracking — captures site walks via 360° helmet cameras, then compares as-built reality to the BIM schedule to flag delays and rework risk before they cascade.
Generative-design platform for early-stage architecture — site planning, daylight, wind, and parametric massing analysis. Acquired Spacemaker in 2020.
Industry-leading BIM platform with AI-powered building performance analytics — energy, daylight, and structural analysis via Autodesk Insight.
Industry-standard CAD with embedded AI features — Smart Blocks for auto-suggested block placement and Markup Import using vision AI to interpret hand-drawn redlines.
Civil and infrastructure digital-twin platform with AI-driven analytics — used for bridges, transit, water, and utility projects at major infrastructure firms.
Generative-design platform for real-estate developers and architects — auto-generates building configurations optimized for FAR, parking ratios, and unit mix.
Construction-document AI for active job sites — automates RFI responses, submittal review, and safety analysis from project documents.
Bayer's AI-powered crop analytics platform helping farmers optimize planting dates, fertilization rates, and harvest timing with field-level precision farming insights.
Computer vision and AI platform monitoring crop health, detecting pests, and estimating yields in real time from cameras and sensors deployed throughout agricultural fields.
Aerial intelligence platform combining drone imagery, satellite data, and AI to give farmers detailed field-level crop health insights and early disease detection.
Precision agriculture platform combining GPS guidance, field management software, and AI analytics to optimize farm operations, input usage, and harvest logistics.
AI-native cybersecurity platform providing endpoint detection and response (EDR), threat intelligence, and proactive threat hunting across enterprise environments worldwide.
Self-learning AI platform that models normal behavior across enterprise environments and autonomously neutralizes novel cyber threats in real time without predefined rules.
AI-powered endpoint protection platform using behavioral AI to prevent, detect, and respond to ransomware, malware, and advanced persistent threats at machine speed.
Agentic AI security analyst with AgentWorks, AI Runtime Protection, and Shadow AI Discovery for autonomous threat detection and response.
AI-native security operations platform replacing traditional SOCs with agentic AI, federated search, and autonomous investigation capabilities.
AI security analyst offering one-click Auto Investigation with autonomous evidence gathering, attack timeline construction, and analyst-in-the-loop governance.
Cloud security platform (CNAPP) using AI to analyze configurations, workloads, and identities across multi-cloud environments; its Security Graph maps attack paths. Acquired by Google for about $32 billion (closed March 2026) — the largest cloud-security deal ever — and now operates within Google Cloud.
Cisco's platform for securing the AI applications, models, and agents enterprises build and run. Algorithmic red-teaming and runtime guardrails (with NVIDIA NeMo Guardrails integration), model and MCP-server scanning for poisoned data and malicious tools, and real-time inspection of agentic traffic for memory poisoning, tool misuse, and intent hijacking. Includes the open-source DefenseClaw agent framework and MCP Scanner.
Cisco's distributed, AI-native security architecture for AI-scale data centers. Pushes enforcement into the Linux kernel via eBPF (from the Isovalent acquisition) and into the fabric through N9300 Smart Switches with DPUs. Autonomous Segmentation learns application behavior to automate policy, and self-qualifying updates validate policy changes against a digital twin before applying them.
AI-native email security platform — Ocean's "Ray" investigation engine analyzes every incoming email in real time using a custom small language model, flagging fraud, impersonation, and AI-driven phishing. Used by Kayak, Kingston Technology, and Headspace.
NVIDIA's open-source toolkit for adding programmable guardrails to LLM apps — blocking jailbreaks, prompt injection, off-topic or unsafe outputs, and enforcing safe behavior.
Security for AI and ML systems — model-supply-chain scanning, adversarial-attack simulation, and runtime detection and response that protect models and agents in production.
Generative-AI assistant for security teams — investigates and summarizes incidents, triages alerts, and recommends responses in natural language across the Microsoft security stack, with autonomous agents.
Developer-first security — finds and fixes vulnerabilities in code, dependencies, containers, and infrastructure-as-code, and validates AI-generated code and AI-native apps before they ship.
Microsoft's first in-house cybersecurity model — a compact, code-heavy model that finds vulnerabilities in large codebases and powers the MDASH remediation system, reported at 96 percent on CyberGym at half the cost of the frontier stack it replaces.
Self-learning AI security platform providing autonomous detection, response, and recovery — learning normal patterns for every user, device, and system to detect deviations.
Cisco Foundation AI's open-weight small language models (350M and 1B) that localize known security vulnerabilities inside real codebases at a fraction of the compute cost of frontier models.
AI-powered language learning app with over 600 million users, using adaptive algorithms, pronunciation analysis, and generative AI to deliver personalized lessons at every level.
Khan Academy's AI tutor providing Socratic guidance to students and lesson planning assistance to teachers, offering personalized learning support free of charge for students worldwide.
AI teacher assistant inside Google Docs and Slides for planning, differentiation, and feedback.
Classroom AI with teacher assistants plus monitored, personalized student tutors and activities.
AI-native K-12 platform with agentic AI for teaching, grading, and intervention.
AI reading tutor that listens to K-5 students read aloud, assesses, and tutors one-on-one.
Voice-first AI language tutor giving real-time speaking practice and feedback.
Dominant academic-integrity platform; AI-detection reliability is publicly contested.
AI agents that build and run corporate courses training thousands of employees at once.
AI text-to-speech reader, a core assistive tool for dyslexia, ADHD, and low vision.
AI-powered language learning platform with 40+ courses. Features AI roleplay conversations, explain-my-answer, personalized lessons via Birdbrain AI engine, and speech recognition across 100M+ monthly users.
AI-assisted grading platform by Turnitin helping professors and teaching assistants grade assignments, exams, and programming submissions faster and more consistently at scale.
AI-driven problem-solving and critical thinking platform originally developed for SpaceX's children, now helping K-12 students globally build mathematical reasoning and analytical skills.
AI platform for teachers — lesson plans, rubrics, differentiation, and IEP/accommodation drafting — plus safe student tools. Used in over a million classrooms.
AI-native corporate learning platform — builds and personalizes training and answers employees' questions from company knowledge. From Sana Labs (acquired by Workday).
AI-powered enterprise learning platform (LMS and LXP) — AI content creation, personalization, and skills development for corporate training at scale.
Collaborative corporate-learning platform — AI-assisted course authoring plus peer-driven "collaborative learning" that turns internal experts into course authors.
Turns any text or video into leveled reading passages, vocabulary, and questions.
Generates interactive slide lessons with live polls, drawings, and instant AI feedback.
Education-specific AI model and voice assistant for classroom tech control and materials.
Instant rubric-aligned AI feedback on student writing and short answers with a revision loop.
AI reading coach that listens to young children read aloud and corrects in real time.
K-12 AI tutoring platform with school-grade guardrails and teacher oversight.
Turns notes, PDFs, and lectures into flashcards, practice tests, and an AI tutor.
Study platform with AI tools turning notes into flashcards, tests, and summaries.
Classifies over a billion citations as supporting, contradicting, or mentioning a claim.
Free visual citation-network tool for discovering related papers and authors.
Real-time academic-writing AI for grammar, tone, and journal readiness.
Institution-grounded AI assistants for colleges, embedded in the learning platform.
Proprietary speech-recognition English pronunciation and accent coach.
AI avatar tutors that hold goal-based conversational language lessons with memory.
Widely used AI-writing detector — contested reliability, best treated as a signal.
Plagiarism and AI-content detection for education and enterprise.
AI grading and feedback built around AI-resilient, anti-offloading assessment.
Redesigns online assessment for the AI era, including AI-supported oral exams.
Generates courses and delivers microlearning over text, WhatsApp, and Teams.
AI-native platform for social and cohort learning run by specialized agents.
AI that coaches employees and curates learning across a workforce skills graph.
Always-available AI coach embedded in technology and data apprenticeships.
AI video maker for learning and development — documents into narrated avatar courses.
Assistive-literacy toolbar with AI text simplification, TTS, and word prediction.
AI workspace that generates editable lesson plans, assessments, and instructional resources.
UK-curriculum suite of 100+ AI micro-tools for teacher planning, reporting, and comms.
AI math coaching giving students real-time support and teachers actionable insight.
STEM tutor pairing a large expert-video library with an AI tutor (homework-help integrity caveat).
AI English coach for professional and workplace communication scenarios.
Spaced-repetition language app with AI conversation partners layered on top.
Chegg's OpenAI-built study assistant (homework help, step-by-step explanations, tutoring). Now in sharp decline — Chegg has been heavily disrupted by free AI assistants like ChatGPT, with steep subscriber and market-cap losses; a cautionary case study in AI disruption.
AI-powered energy intelligence platform helping utilities engage customers, manage demand response programs, and accelerate the clean energy transition with behavioral analytics.
Generative-AI layer for utility grid operations, live in the CAISO control room to speed outage management.
AI demand, price, and renewable forecasting for utilities, traders, and asset operators.
Grid foundation model that autonomously forecasts, bids, and dispatches battery storage across US markets.
Physics-AI digital twins of utility networks for wildfire, clearance, and resilience analysis.
AI orchestration that turns data centers into flexible grid assets to unlock faster interconnection.
Generative-AI search over the nuclear regulatory corpus, deployed on-site at Diablo Canyon.
Cloud solar design platform that builds a 3D roof model from aerial imagery and LIDAR, letting installers design and quote systems without a site visit.
Industrial AI software for energy and chemical companies optimizing refinery operations, asset performance management, and supply chain efficiency with machine learning models.
The leading electrical power-system modeling and digital-twin software, now AI-augmented — used to design, analyze, and operate power systems from utility grids to data-center power, grid to chip.
Schneider Electric's IoT-enabled platform that uses AI to monitor and optimize electrical power distribution, building energy, and grid systems in real time.
GE Vernova's grid-orchestration software bringing AI to transmission planning, grid operations, and autonomous grid-edge decisions for utilities.
Hitachi Energy's grid-automation portfolio — digital substations, power electronics, and AI-enabled software that help utilities run reliable grids with high renewable penetration.
Eaton's Brightlayer software — AI-powered energy management and optimization plus machine-learning motor analytics that predict motor and pump failures months in advance.
Grid-orchestration platform giving utilities real-time DER visibility and coordinated control.
AI bidding software that optimizes how storage and renewables are dispatched into power markets.
Autonomous AI trading platform that monetizes battery assets and powers Tesla's virtual power plants.
Utility-operations platform and AI virtual power plant coordinating EVs, batteries, solar, and heat pumps.
Software that helps utilities integrate EV charging and vehicle-to-grid programs.
Satellite-and-AI vegetation intelligence that helps utilities prevent wildfires and outages.
AI camera network that detects wildfire smoke within minutes and locates ignitions for responders.
AI forecasting and trading signals for short-term renewable power trading in Europe.
AI aggregation of batteries and industrial loads into demand response and grid flexibility.
AI energy-infrastructure platform that gets data centers online faster and manages on-site power.
Dynamic line rating using non-contact sensors and analytics to unlock transmission capacity.
Conductor-mounted sensors and analytics that reveal spare transmission capacity via dynamic line rating.
AI-assisted aerial inspection for solar farms and wind turbines, with computer vision that triages defects for human analysts to verify.
Autonomous drone inspection of wind-turbine blades plus Horizon software for blade health and drivetrain condition monitoring.
Machine-learning asset performance management for wind, solar, hydro, and storage fleets — fault detection and production modeling from operating data.
Computer-vision inspection of grid assets from drone and aerial imagery.
AI grid-resilience planning that prioritizes investments against extreme-weather and wildfire risk.
Renewable operating system for forecasting, trading, and battery dispatch in Japan.
AI wind-farm optimization that raises turbine energy production through coordinated control.
AI solar asset-management and inspection across the global solar fleet.
Printed-circuit-board design with AI-assisted component placement, routing, and search across manufacturer parts data.
Computational design for mechanical engineering using implicit modeling, enabling lightweight lattices and generative parts that traditional CAD cannot represent.
Civil engineering design and documentation for roads, drainage, grading, and site development, with AI-assisted corridor design and automated quantity takeoffs that ripple through the model when constraints change.
Civil design for road and rail infrastructure that feeds Bentley iTwin digital twins, so as-designed models become AI-monitored real-world assets over their lifetime.
MathWorks' MATLAB and Simulink — the standard environment for control-system, signal-processing, and power-system design, now with a Simulink Copilot, an agentic AI toolkit, and AI-for-electrification workflows.
Keysight's electronic design and test software — EDA, emulation, simulation, and measurement — with AI integrated to automate design and validation of chips, boards, and wireless systems.
Cloud-based CAD, CAM, and CAE with generative design — describe the loads, materials, and constraints and Fusion proposes optimized, lightweight part geometries that minimize weight.
Coupled multiphysics simulation across structural, thermal, electrical, and chemical domains, with surrogate modeling to speed up parameter sweeps.
Cloud-native engineering simulation for fluid dynamics and finite-element analysis, with AI-assisted setup that lets mechanical and structural engineers run studies from a browser.
AspenTech HYSYS — process simulation for chemical plants and refineries, with an industrial-AI layer adding predictive maintenance and process optimization on live plant data.
Simulation and engineering analysis across structural, fluid, electromagnetic, and thermal physics. Ansys SimAI and Ansys AI+ add machine-learning surrogate models that predict simulation results in seconds instead of hours of solving.
Computers and Structures ETABS — structural analysis and design for buildings, with automated code-checking and optimization of beams, columns, and slabs across thousands of load combinations.
Dassault Systèmes' SOLIDWORKS — the most widely used mainstream mechanical CAD application — now ships an AI virtual companion called Aura plus AI-generated drawings, generative assembly, and smart component insertion that automate routine design and documentation.
Siemens' flagship mechanical CAD system, NX, with an AI Design Copilot that turns plain-language requests into NX commands, generative design-space exploration, and automated manufacturability and lattice optimization.
PTC's flagship parametric mechanical CAD application, with a built-in Creo AI Assistant that reads the 3D model and offers in-workflow design guidance, plus generative design that proposes optimized part geometries.
Altair's generative-design and simulation environment, pairing topology optimization with the company's AI layer — PhysicsAI deep-learning surrogates and romAI reduced-order models that predict results far faster than traditional solvers.
Ansys SimAI — a physics-agnostic, cloud-based generative-AI surrogate that predicts simulation results directly from a design's geometry, exploring far more design variations than a full solver run would allow.
Neural Concept's AI-native engineering platform uses three-dimensional deep learning to predict aerodynamics, thermal, and structural performance in seconds and to suggest optimized shapes, used across automotive, aerospace, and motorsport.
Monolith AI trains self-learning models on a team's physical-test and sensor data to predict how new designs will behave without re-running expensive tests, closing the gap between simulation and real-world results.
NVIDIA PhysicsNeMo (formerly Modulus) is an open-source deep-learning framework for building AI surrogate models of engineering simulations — fluid dynamics, structural, and thermal — accelerating CAE by orders of magnitude on GPUs.
Microsoft MatterGen is a generative-AI diffusion model that designs novel inorganic materials to order — prompt it with target properties and it proposes new, stable crystal structures; published in Nature and released open-source, paired with the MatterSim property predictor.
IBM RXN for Chemistry uses AI trained on millions of reactions to predict reaction outcomes and plan retrosynthetic routes from a target molecule, and couples to RoboRXN cloud robotics for autonomous synthesis.
Citrine Informatics is a materials-informatics platform that applies machine learning — sequential learning and generative models — to a company's experimental and literature data to predict new material and formulation properties and recommend the next experiment to run.
PTC Onshape is a cloud-native mechanical CAD and data-management platform with a built-in AI Advisor that answers CAD and PDM questions in real time, a genuine free tier, and a 2026 roadmap of AI agents, generative FeatureScript, and AI rendering.
Bentley Blyncsy uses computer vision to detect more than fifty types of roadway issues — potholes, cracking, faded markings, damaged signs — from crowdsourced dashcam and street-level imagery, feeding road-condition data into infrastructure digital twins.
Trimble brings AI to civil construction and surveying — feature extraction from survey and point-cloud data, Tekla AI for structural fabrication, an agentic AI platform for building construction agents, and AI assistants across its Connect collaboration tools.
nPlan trains deep-learning models on more than seven hundred thousand past project schedules to forecast how long activities will really take, flag the riskiest parts of a program, and quantify delay risk before construction begins on major infrastructure.
Bentley OpenSite+ is described as the first generative-AI application for civil site design — its AI copilot automates drainage and earthwork and evaluates thousands of grading scenarios, producing site designs up to ten times faster.
ALICE Technologies applies generative AI to construction scheduling — analyzing a project model and schedule to generate millions of ways to sequence the work and surface the most efficient, compressing timelines and balancing labor and equipment on heavy-civil projects.
NoTraffic pairs roadside vision-and-radar sensors with cloud AI to detect vehicles, pedestrians, cyclists, and transit in real time and adjust traffic-signal timing autonomously — moving intersections from fixed timing toward continuous, demand-driven control.
Autodesk Inventor is a professional desktop mechanical CAD application, now with a built-in Design Copilot that takes plain-language design requests and predicts next steps, plus native Shape Generator topology optimization; full generative design lives in Autodesk Fusion.
Bentley STAAD is a flagship structural analysis and design platform, now paired with the open-source OpenSTAAD MCP server that lets AI assistants like Claude drive it in plain language — defining load cases, setting member properties, and running iterative, code-checked design optimization.
SkyCiv is cloud-based structural analysis and design with a 2025 wave of AI — an assistant that validates models and suggests improvements, plus an AI model generator that turns sketches, images, or text prompts into structural models.
Genia is an AI-native structural-design assistant that turns architectural drawings into multiple physics-validated, code-compliant structural layout options optimized for cost and feasibility — compressing early structural design from days to minutes.
Enterprise AI platform integrating large language models with operational data, deployed in financial services, healthcare, and defense for real-time decision intelligence.
AI market intelligence platform used by investment banks, hedge funds, and corporations to research companies, analyze earnings calls, and surface insights from millions of documents.
AI-controlled cryptocurrency wallets that independently hold, trade, stake, and rebalance crypto without human approval — one of the first autonomous AI agents in financial services.
Agentic AI platform powering TurboTax, QuickBooks, and Credit Karma with specialized agents — Business Tax AI, Customer AI, and Accounting AI — saving businesses up to 12 hours/month.
An API suite that lets trusted AI agents pay on a consumer's behalf using tokenized Visa credentials.
Agentic tokens, passkeys, and a verifiable-intent record that let AI agents transact with proof of user authorization.
AI lending platform that underwrites consumer loans with alternative data across a marketplace of banks and credit unions.
Explainable, automated credit-underwriting models positioned as a fairer alternative to legacy scorecards.
Enterprise RiskOps platform using real-time machine learning to block payment fraud, scams, and money laundering.
Agentic fraud, AML, and compliance platform built on device intelligence and behavioral biometrics.
Financial-crime platform with an agentic AI workforce that researches flagged activity and drafts dispositions.
Identity-verification platform whose ML identity graph powers KYC and synthetic-identity fraud detection.
Turns written regulations into executable AI compliance agents that check business activity before it ships.
Agentic AI platform for finance professionals that automates deal screening, research, diligence, and memos.
S&P Global's AI arm — LLM-ready and MCP access to Capital IQ financials, estimates, and transcripts for agents.
The leading AI meeting assistant and agentic operating system for financial advisors.
Transparent machine-learning actuarial platform that auto-builds insurance pricing and reserving models.
Generative-AI risk digitization that runs self-executing commercial-underwriting workflows via Autopilot.
Autonomous agentic AI for accountants that produces finished work — including tax returns — for human review.
AI agents inside BILL's AP and AR platform that code invoices, validate documents, and reconcile.
First retail-facing brokerage to expose live stock trading to third-party AI agents over the Model Context Protocol (MCP). Separate AI-agent account funded from a dedicated wallet, with user approval on high-impact actions and Robinhood fraud-detection oversight.
The market-leading blockchain analysis platform for tracing crypto transactions and attributing wallets to real-world entities, used by governments, exchanges, and banks.
AI for auto and property claims assessment, enabling insurers to evaluate vehicle and property damage from photos within seconds rather than the traditional weeks-long process.
AI-first insurance company using chatbots and machine learning to provide instant homeowners, renters, pet, and life insurance with automated claims paid in seconds.
Internal AI assistant deployed firmwide to Morgan Stanley wealth advisors — generative-AI-powered access to 100,000+ research reports, client-meeting prep tools, and email/document drafting. The most-publicized example of a major wealth manager rolling out an AI copilot at scale.
Direct-to-consumer robo-advisor — automated portfolio management, tax-loss harvesting, and AI-driven cash management for retail investors. $50+ billion in assets under management; the longest-running robo-advisor still operating independently after acquisition attempts.
Robo-advisor and digital wealth platform with AI-driven portfolio construction, automated rebalancing, and tax-loss harvesting. Serves both retail investors and 401(k) plans (Betterment for Business) plus offers a B2B platform (Betterment for Advisors) for human RIAs.
RIA tech platform serving registered investment advisors with AI-augmented portfolio management, financial planning, CRM, compliance, and client reporting. Manages $3+ trillion in assets across thousands of advisor firms.
Financial planning platform owned by Fidelity — AI-driven cash flow analysis, retirement scenario modeling, and goal-based planning workflows used by independent RIAs and Fidelity-affiliated advisors. ~95,000 advisors; widely cited as the leading retail planning software.
Embeds PayPal checkout inside AI assistants via the Agentic Commerce Protocol for agent-driven purchases.
An operating system for agentic AI in banking, running AI agents natively across core, payments, and card processing.
Anthropic-powered agentic AI for financial-crime and anti-money-laundering detection across banking workflows.
AI credit-evaluation infrastructure embedded into lenders' point of sale and funded through capital markets.
Document-AI that extracts and validates data from bank statements and loan documents to power underwriting.
Explainable-AI transaction monitoring and AML screening that cuts false positives while staying auditable.
Decision Intelligence platform using entity resolution and graph analytics to surface hidden criminal networks.
Unified identity platform combining document, biometric, liveness, and deepfake-detection checks.
AI that extracts and structures company fundamentals into analyst-ready models and data feeds for finance.
A crowdsourced AI hedge fund that aggregates thousands of anonymous machine-learning models into one signal.
A RAG assistant over Moody's ratings and data on hundreds of millions of entities, with an MCP app.
Privacy-first advisor meeting AI that captures structured client data without storing audio.
Advanced-planning AI that reads tax, estate, and insurance documents to generate advisor recommendations.
An AI growth officer that scores prospects and automates personalized outreach for financial advisors.
AI-driven portfolio construction and management that builds customized client portfolios for advisors.
Agentic AI underwriter that learns a carrier's appetite and takes submissions toward quote-ready.
AI-native RiskOps platform aligning portfolio strategy with day-to-day underwriting decisions.
Claims-guidance AI that reads records to flag which disability and injury claims need attention next.
Pricing decision-intelligence platform that lets specialty insurers build and iterate pricing models fast.
AI-native ERP built around a proprietary Large Accounting Model to automate the financial close.
End-to-end AI tax-preparation automation (Tax Autopilot) for CPA firms.
AI-powered close-management and reconciliation software that automates transaction and cash matching.
Excel-native intelligent automation that extracts and matches unstructured audit evidence for auditors.
AI features integrated across the Bloomberg Terminal — earnings-call summaries, document Q&A, and Bloomberg-trained financial NLP models.
Portfolio management and risk-analytics platform with AI-driven insights — used by major asset managers, pension funds, and insurance companies.
AI platform for anti-money-laundering, fraud detection, and financial-crime compliance used by global banks and broker-dealers.
Insurance analytics platform with AI for underwriting, claims, fraud detection, and catastrophe modeling — embedded across most US P&C carriers.
Insurance core-system platform (PolicyCenter, ClaimCenter, BillingCenter) with embedded AI for underwriting decisions and claims automation.
AI-powered insurance fraud detection and claims-decisioning platform used by global P&C and health insurers.
Insurance agency-management platform with AI features for client retention, document automation, and producer productivity.
Agency management system from Applied Systems with embedded AI for policy management, client communications, and producer workflow.
Agentic decision platform for banks and insurers — a no-code decision-flow builder plus AI agents that automate high-stakes calls like loan underwriting, claims assessment, and fraud detection.
Cloud-based accounting platform for small businesses with embedded AI features for transaction categorization, invoice automation, and cash-flow forecasting.
AI assistant embedded across Sage accounting and ERP platforms — automates bookkeeping, invoice processing, and financial reporting.
Invoice processing and accounts-payable automation AI for accounting firms and finance teams — handles coding, approval routing, and exception management.
AI-powered audit and risk-analytics platform — analyzes 100% of transactions for anomalies, used by audit firms and corporate finance teams.
Blockchain-intelligence platform for detecting and investigating crypto financial crime, with machine-learning risk scoring and a natural-language AI investigator.
London-based blockchain-analytics platform screening on-chain transactions for financial-crime risk, with the Elliptic Copilot AI assistant.
On-chain analytics platform that labels hundreds of millions of wallets to track Smart Money, now with a large-language-model research and trading agent.
AI digital employees that automate KYC refreshes, alert reviews, and financial-crime casework end-to-end.
Enterprise AI platform used by 200,000 JPMorgan employees daily. 450+ AI use cases in fraud detection, risk modeling, trading, credit underwriting, and regulatory compliance.
On-chain intelligence platform that de-anonymizes crypto wallets via its Ultra engine and a crowdsourced bounty marketplace — and runs its own crypto exchange.
Precision methane analyzers and analytics that map and rank gas-distribution leaks at driving speed.
Largest commercial methane-monitoring satellite constellation, with AI pinpointing site-level sources.
Continuous methane monitoring with IoT sensors and ML that localizes and quantifies emissions.
Laser-tower network and AI that continuously monitor thousands of facilities for methane.
Methane emissions-intelligence and certification platform with continuous sensing and AI.
Free-floating in-line sensors and ML that inspect live water and gas pipelines for leaks and defects.
Low-cost optical-gas-imaging cameras and AI that visualize and quantify methane minute by minute.
Government intelligence and operations platform used by defense and intelligence agencies for data integration, mission planning, threat analysis, and battlefield logistics support.
Palantir AI-powered battlefield intelligence platform integrating computer vision, multi-source intelligence fusion, natural language querying, and targeting support. $1.3B contract ceiling. Adopted by NATO and US Army. Built on Palantir AIP + Foundry data ontology.
SpaceX's government and national-security space stack — a militarized variant of Starlink for secure communications, hosted payloads, and Earth observation. Its proliferated low Earth orbit constellation exceeds 200 satellites, with AI essential to manage the network and process sensor data on orbit. Won a $2.29 billion US Space Force SDN Backbone contract in May 2026.
AI autonomy platform integrating sensor data for autonomous awareness, tracking, and response across large geographic areas. Selected as common C2 platform in $20B Army contract.
AI 'Front Desk' for local and county government — chatbots and voice agents that answer resident questions, route requests, and process payments around the clock in 75+ languages.
End-to-end AI platform for federal contractors that shreds RFPs into compliance matrices and drafts Section L and M-aware proposals, with C3PAO-audited security.
AI-native operating system for government contractors that has rolled up Rogue AI and HigherGov to cover find, win, and deliver in one platform.
Incumbent government market-intelligence platform pairing 150-plus human analysts with AI features like Ask Dela chat, Smart Fit Scores, and 2026 proposal automation.
Europe's largest defense-AI firm, building AI strike drones (HX-2), electronic-warfare software (Cirra), and fighter-jet autonomy — with a central lethal-autonomy debate.
Axion autonomy toolchain the US military uses to build, test, and field autonomous ground and air systems — selected by the DoD to build an 'Autonomy Factory'.
AI-piloted autonomous surface vessels built at scale for the US Navy, pairing an autonomy stack with vertically integrated shipbuilding.
AI-powered OSINT platform that analyzes vast multilingual open-source data to help defense users understand and respond to foreign actors.
Transcribes body-camera audio and uses a GPT-4-class model to auto-generate a first-draft police report the officer edits and signs.
AI camera network built on automated license-plate recognition and a shared police search network across 5,000+ communities.
AI policy and regulatory intelligence platform that monitors bills across 10,000+ governmental bodies, generates tailored impact summaries, forecasts passage, and assists legislative drafting.
Turns daily imagery from the largest commercial Earth-observation fleet into AI-analyzed decision layers such as biomass, crop growth, and land-surface temperature.
AI change-detection from the former Maxar Intelligence that fuses very-high-resolution imagery across sensors to flag physical changes without frame-by-frame analyst review.
Palantir Foundry integrates siloed government data into a common operational model, and AIP layers LLMs on that governed data for operational AI applications with human-in-the-loop controls.
A citizen-facing AI assistant on the Government Experience Cloud, plus AI audience analytics (GXI), serving 7,000+ public-sector organizations.
OpenGov's built-in AI assistant with a generative 'Scope Builder' for solicitation drafting, budget scenarios, and permit-code validation across ~1,900 customers.
An AI plan-review engine whose AI PreCheck auto-checks building designs against local zoning and building codes, compressing permit review from months toward days.
AI resident-engagement assistant (SMS, web chat, voice) for 311, service requests, and bill pay in 75+ languages; powers Denver's assistant 'Sunny.'
Purpose-built GovCon proposal AI from an ERP and CRM incumbent, drafting compliant outlines from a firm's past proposals in a compartmentalized private cloud.
Y Combinator-backed AI startup billed as TurboTax for government contracts, unifying opportunity discovery, capture, and proposal writing for GovCon sellers.
AI-fused distributed sensing and counter-drone radar, networking many low-cost nodes to detect drones and missiles earlier than legacy radar.
Ground-vehicle autonomy for the US military — OverDrive on-vehicle stack plus OverWatch command-and-control — fielded on uncrewed vehicles from DARPA's RACER program.
Scale AI's defense products — Donovan delivers fine-tuned LLMs for classified national-security work, and Thunderforge builds AI planning agents under a DIU prime contract.
Forterra builds AutoDrive, a vehicle- and payload-agnostic autonomy kit for military ground vehicles, fielded on its Lancer autonomous ground vehicle — including the largest US combat deployment of autonomous ground vehicles, in Ukraine.
AI-native platform that turns unstructured text and document overload into structured, traceable intelligence for defense mission planning.
AI decision-advantage platform fusing multi-domain data to predict threats and support Pentagon resourcing decisions.
AI SaaS platform for defense acquisition and supply-chain analytics, unifying DoD procurement, logistics, and adversary-dependency risk decisions.
Data-integration and analytics platform that unifies siloed police data into a searchable real-time crime center.
Acoustic sensor networks that use machine learning to detect and locate suspected gunfire, plus the SafetySmart software suite.
Autonomous drones that auto-dispatch from a 911 or sensor trigger and stream live video to responders in under 90 seconds.
AI assistant for 911 call centers: real-time transcription, translation, location and multimedia intake, and triage. Now part of Axon.
Cloud-native computer-aided dispatch and records-management platform for police, now adding AI report assistance and search.
Public-affairs platform for tracking legislation across Congress, all 50 states, and beyond, with a CRM, grassroots and PAC tools, and the Quincy AI assistant plus agentic workflows.
Pairs a rapid-revisit small-satellite constellation with automated tasking and AI object detection that identifies vehicles, aircraft, and vessels from 35-centimeter Gen-3 imagery.
Space-domain-awareness AI built under DARPA's PRECOG program that detects anomalous behavior within large satellite constellations to flag spacecraft not operating as intended.
AI threat-detection service built on a worldwide ground-based phased-array radar network that continuously tracks objects in low Earth orbit for US and allied national-security missions.
Federated digital-identity and single-sign-on service letting people prove identity once to access government, healthcare, and commercial services; used by 156 million-plus people.
Cloud fraud-waste-and-abuse detection system combining analytics, AI, and human intelligence to detect improper payments across Medicaid, Unemployment Insurance, SNAP, and other benefits.
Case-management platform for human services agencies — supports caseworkers in child welfare, homelessness, and family services with AI-assisted documentation and outcomes tracking.
Case management and impact platform for nonprofits, foundations, and government agencies — AI features for program reporting, donor engagement, and outcome measurement.
Natural-language processing that analyzes body-camera audio to flag officer conduct for accountability review.
Y Combinator-backed startup automating police paperwork with AI report writing from body-cam footage and a CJIS-compliant assistant.
AI-powered policy tracking aiming to democratize legislative monitoring, with real-time updates, bill summaries, and predictive analytics, and stewarding the Open States open-data project.
AI-powered government-operations platform for public servants on AWS GovCloud, coordinating constituent casework, cross-agency initiatives, and grant-required collaboration.
Analytics-as-a-service on synthetic-aperture-radar data pooled from a Virtual Constellation of partners, processing 50 million-plus SAR images for security, maritime, and energy insights.
Turns cameras toward space rather than Earth to deliver on-demand imagery and inspection of satellites and orbital objects via autonomous software for defense and intelligence users.
Clinical AI platform analyzing genomic and molecular data to help oncologists select the most effective targeted therapies for individual cancer patients.
AI radiology triage platform with 30 FDA-cleared tools. First comprehensive foundation model AI triage detecting 14 critical findings from a single abdominal CT with 97% sensitivity.
Medical AI platform detecting time-sensitive conditions from imaging. Nearly 2,000 hospitals, 230 million lives covered. FDA-cleared tools for stroke, hemorrhage, pulmonary embolism, and more.
Microsoft clinical AI assistant (formerly Nuance DAX) that listens to patient-physician encounters and auto-generates SOAP notes, visit summaries, referral letters, and after-visit instructions. Agentic capabilities handle prior authorizations and medication refills. Deployed at 600+ health systems.
Brain-computer interface implant with ~20 patients. 1,024 electrode threads, 9+ bits/sec cursor control. Blindsight visual cortex device has FDA Breakthrough designation.
Safety-focused, patient-facing generative-AI agents that handle non-diagnostic clinical outreach — post-discharge calls, chronic-care check-ins, and care management — at scale, escalating to human staff when needed.
NVIDIA's drug-discovery platform — open biology models, NIM microservices, and GPU-accelerated tools for protein structure, docking, generative chemistry, and genomics, callable by AI agents.
Google's family of multimodal medical AI models — Med-Gemini research plus MedLM and MedGemma on Vertex AI — for clinical text, imaging, and medical-knowledge tasks.
Globally deployed radiology AI for chest X-ray, head-CT, and lung-nodule detection and triage — 26 FDA indications across 9 products, used in 100-plus countries.
Digital MSK platform — smartphone-based exercise programs, AI motion tracking, and care navigators for back, neck, joint, and pelvic-floor pain. Covers 19+ million people through employer benefit programs and is the dominant digital-first physical-therapy alternative.
AI-driven digital therapeutics for back pain, knee pain, and COPD pulmonary rehab. Smartphone motion tracking provides exercise feedback comparable to a physical therapist. FDA-cleared for several indications and deployed across major US and European employer health benefits.
AI-driven drug discovery company using biology-scale datasets and machine learning to identify novel treatments, compressing the drug development timeline from 12 years to 4-5.
AI virtual physical therapy with FDA-cleared motion-sensor technology and licensed PT supervision. Delivers in-clinic-quality care across MSK, women's health (Bloom), and post-surgical rehab to thousands of employer and health plan partners covering millions of members.
Wearable AI for activity, fall, and behavior-pattern monitoring in skilled nursing, assisted living, and home settings. ML models on continuous accelerometer data detect routine changes that predict urinary tract infection, falls, and depression days to weeks ahead of human observation.
AI vision platform (AUGi) for senior-living facilities — tracks falls, exit-seeking, and clinical events from in-room cameras without requiring residents to wear devices. Used by Brookdale, Atria, and other large senior-living operators across thousands of resident rooms.
Simulation-grade physics and chemistry models (quantum chemistry, molecular dynamics, microkinetics) exposed through Claude as a conversational interface for drug discovery and materials science. Spun out of Alphabet in 2022; led by CEO Jack Hidary. Claude integration shipped May 2026.
Digital pathology AI with FDA-qualified tools for clinical trials (AIM-MASH) and diagnostics (AISight Dx). Breakthrough Device Designation for dermatopathology (March 2026). Deployed at Labcorp.
AI clinical decision support — evidence-based answers to medical questions at the point of care, with citations to the primary literature. Used by a large share of US physicians.
Enterprise ambient AI platform — drafts clinical notes from the visit conversation and supports coding and revenue-integrity workflows across health systems.
FDA-cleared AI analysis of coronary CT — non-invasive FFR-CT blood-flow assessment and plaque analysis to diagnose heart disease, reimbursed and widely clinically validated.
High-data-rate implantable brain-computer interface (Connexus) with an FDA-approved speech-restoration clinical trial — a leading Neuralink rival on a clear regulatory path.
Endovascular brain-computer interface — no open brain surgery. ~10 patients, COMMAND trial met safety endpoint. First BCI to control Apple Vision Pro.
Thin-film cortical interface with 1,024 electrodes placed on brain surface without penetrating tissue. FDA 510(k) cleared. Medtronic partnership.
AI-driven drug discovery platform (Pharma.AI suite) covering target identification, generative chemistry, and clinical-trial design. Has multiple AI-discovered candidates in Phase II clinical trials.
Drug discovery platform combining knowledge graphs and machine learning to identify novel drug targets and repurposing opportunities.
Computational platform combining physics-based simulation and machine learning for drug discovery and materials science.
AI platform integrated with GE imaging devices (CT, MRI, ultrasound) and clinical applications — radiology workflow, image quality, and patient monitoring.
Health-AI platform whose Clinical Clarity Engine uses AI to turn scattered, unstructured medical records into structured, decision-ready clinical data for clinicians, researchers, and life-sciences teams.
DeepMind protein-structure prediction AI — has predicted structures for over 200 million proteins, transforming structural biology and drug discovery.
Ambient clinical-documentation AI for physicians — listens to patient encounters and generates structured notes that integrate directly with the EHR.
Voice-driven AI assistant for clinical documentation — used by physicians across primary care and specialty practices for hands-free note-taking.
FDA-cleared AI for dental radiograph analysis — detects caries, periapical lesions, and bone loss to support dentist diagnoses.
FDA-cleared dental AI for radiograph interpretation and patient communication — used by dental service organizations and insurers.
Conversational AI for mental-health support — clinically validated CBT-based chat assistant used by employers, health plans, and therapy services.
AI for digital pathology — first FDA-approved AI for prostate cancer detection on whole-slide images, used by major academic medical centers and labs.
Epic's embedded AI features — Cosmos research database (250M+ patient records), Inbox-message drafting, summarization, and predictive insights inside the Epic EHR.
Healthcare data and AI platform unifying clinical, claims, and operational data for hospitals — supports population health, care management, and physician workflows.
EHR and care-coordination platform for skilled nursing and senior living with AI features for resident risk prediction, regulatory compliance, and revenue cycle.
Long-term and post-acute care platform with AI features for clinical documentation, billing automation, and operational analytics.
Ambient clinical-documentation AI used across acute care, ambulatory, and skilled-nursing facilities — combines AI scribes with human review for high-accuracy notes.
AI-native healthcare platform unifying ambient documentation, revenue-cycle management, and hospital operations across hundreds of provider organizations; parent of ambient-scribe Augmedix.
Stroke and neurovascular imaging AI — automated large-vessel-occlusion detection, CT perfusion, and triage that speeds treatment across stroke networks. The principal Viz.ai rival.
Generative-AI radiology workflow that drafts report impressions and automates reporting and worklist tasks, tuned to each radiologist's style.
AI coronary-CT analysis that quantifies and characterizes arterial plaque (AI-QCT) to assess heart-disease risk; FDA-cleared with a Category I CPT code from January 2026.
Publicly traded cancer-detection AI — FDA-cleared chest X-ray and mammography screening plus oncology pathology biomarkers, distributed globally and via imaging-device OEMs.
AI operational assistants for hospitals that automate patient flow, discharge planning, and OR scheduling — targeting capacity, length-of-stay, and throughput.
Consumer AI therapy chatbot from Slingshot AI, grounded in CBT/DBT/ACT techniques — support, not a replacement for licensed care, in a category whose safety and efficacy are still being validated.
Eli Lilly's platform giving biotechs federated-learning access to Lilly's AI models for small-molecule and antibody discovery, trained on proprietary data.
Autonomous AI medical coding for large health systems — translates clinical documentation into billing codes across specialties, with audit trails and human oversight.
AI prior-authorization and utilization-management automation for health plans and providers — speeding approvals for appropriate care and cutting denials and delays.
Voice-AI agents that automate healthcare phone calls to payers — benefit verification, prior-auth status, and member services — built on a knowledge graph from millions of calls.
Handheld whole-body ultrasound on a chip with AI image guidance and interpretation — including FDA-cleared blind-sweep gestational-age estimation for minimally trained users.
The first FDA-cleared AI skin-cancer detection device for primary care — a handheld spectroscopy tool that assesses lesions for all three common skin cancers at the point of care.
Continuous, real-time AI monitoring of inpatients for sepsis and clinical deterioration — with a landmark FDA clearance for continuous AI sepsis monitoring.
Surgical-intelligence AI that analyzes operating-room video to support surgeon performance, training, and automated operative documentation across hundreds of thousands of procedures.
The first-ever FDA-authorized autonomous AI diagnostic — detects diabetic retinopathy from retinal images in primary-care settings without a specialist read. By Digital Diagnostics.
Medtronic's FDA-cleared AI for real-time polyp detection during colonoscopy — a second set of eyes that highlights potential polyps on live endoscopy video to reduce missed lesions.
Ambient AI medical scribe (a European leader) that generates structured clinical notes from patient encounters and is expanding into agentic clinical workflows.
Clinician-facing decision support that generates ranked differential diagnoses and evidence-based care plans, plus ambient documentation — used by 100,000-plus US clinicians and trainees.
Clinical-AI virtual care embedding AI clinical agents into health-system EHR workflows — powering in-EHR virtual urgent and primary care with Penn Medicine and Northwell.
AI that reads EHR chart data to surface missed or under-documented diagnoses, draft care plans, and automate notes — improving diagnosis capture and documentation integrity.
AWS's AI drug-discovery platform exposing 40-plus AI biology models through a no-code interface to design, predict, and optimize candidates on the AWS HealthOmics backbone.
AI protein-engineering software to design better proteins in the browser — used by several top-25 pharma companies to tighten the design-build-test loop.
AI structural-biology models — Chai-1 structure prediction and Chai-2 de-novo antibody design — offered as accessible tools for protein and antibody discovery.
Generative de-novo protein design from a former AlphaFold lead — including LatentX, a free web app to design proteins in the browser, plus an agentic design assistant.
AI protein language models that design new proteins and gene editors — the team behind OpenCRISPR-1, an open-sourced, AI-designed CRISPR gene editor.
AI-native drug-discovery platform spanning predictive and generative AI across discovery and development; launched in 2024 with roughly 1 billion dollars, platform-first.
Generative-biology platform using AI to design protein therapeutics across modalities; newly public, with a lead anti-TSLP antibody in global Phase 3 for asthma.
GEMS AI platform designing small molecules for hard-to-drug targets — partnered with Eli Lilly, Genentech, Gilead, and Incyte.
Clinical-stage AI drug discovery for oncology — lead HER2-inhibitor candidate in Phase 1, plus a Takeda platform partnership.
Publicly traded generative-AI drug creation pairing AI antibody design with wet-lab validation — an Integrated Drug Creation platform with clinical programs.
AI drug discovery mining nature's chemistry — machine learning on mass-spectrometry data to find medicines from natural compounds; lead program in Phase 1.
AI-guided cellular reprogramming research platform using computational biology and machine learning to identify optimal rejuvenation pathways via Yamanaka factors.
AI-powered drug discovery platform applying machine learning to aging biology, protein interactions, and therapeutic target identification. Five clinical-stage candidates plus ~20 preclinical programs.
AI-powered drug design engine building on AlphaFold breakthroughs. Predicts protein-drug binding, metabolism, and side effects to accelerate pharmaceutical R&D. Partnerships with Eli Lilly and Novartis.
AI-driven drug discovery platform co-founded by Reid Hoffman and Siddhartha Mukherjee. Uses machine learning to identify drug candidates, predict molecular interactions, and optimize therapeutics.
Revenue management AI platform for hotels, providing dynamic room pricing optimization and demand forecasting to maximize RevPAR across room types, segments, and booking channels.
AI pair programmer integrated into VS Code, JetBrains, and other IDEs that suggests code completions, entire functions, and documentation as developers type, trained on billions of lines of code.
Causal + predictive AI engine that auto-pinpoints root cause and anticipates IT problems.
Core AIOps engine — auto anomaly detection and root-cause on a timeseries foundation model.
Conversational AI + reasoning engine that autonomously resolves employee IT and HR requests.
ML network assurance + agentic Marvis that autonomously remediates wired and wireless issues.
Autonomous Kubernetes optimization — rightsizes pods, nodes, GPUs, and spot to cut cost.
Natural language generation platform (Wordsmith) that automatically writes data-driven news stories at scale. Powers the Associated Press's automated quarterly-earnings coverage, Yahoo's fantasy football recaps, and similar high-volume, structured-data journalism workflows.
Cuts alert noise, correlates events, and is building an autonomous SRE responder agent.
AI assistant + ITSI event correlation and service-health across observability and Cisco telemetry.
Causal-AI observability with topology-aware incident investigation and watsonx remediation.
Agentic AIOps coordinating agents for noise reduction, root cause, and self-healing.
Correlates telemetry with incidents and change; Autopilot SRE agent triages and scopes fixes.
Correlates IT event noise into actionable incidents with generative root-cause analysis.
AI-native observability whose Olly agent troubleshoots across logs, metrics, and traces.
Cloud-native observability with temporal-knowledge-graph AI-guided troubleshooting.
Enterprise search + autonomous agents for Jira Service Management incident triage and deflection.
Autonomous IT-service agents + no-code studio that resolve tickets end-to-end in Freshservice.
Domain-specific AI agents that auto-resolve IT, HR, and customer service requests.
Agentic ITSM conversational agents + AI-driven autonomous endpoint management.
Autonomous AI agents for ticket handling, incident swarming, and patch orchestration.
Agentic AI correlating network telemetry and driving closed-loop remediation with approval.
Networking-specific LLM + AgenticOps workspace for NL troubleshooting and validated config.
Campus network-as-a-service with autonomous AI provisioning, optimization, and troubleshooting.
Agentic network AI on a mathematically verified digital twin of the network.
Autonomous network-investigation agent running multi-step queries across trillions of telemetry points.
Network + multi-cloud AIOps using LLMs, knowledge graphs, and causal reasoning.
Real-time autonomous Kubernetes resource management and rightsizing.
Self-driving cloud AI that autonomously optimizes compute, GPU, and AI-app resources.
AI SRE for Kubernetes — Klaudia does autonomous root-cause analysis and remediation.
AI-native software delivery with specialized agents across CI/CD, cloud cost, and ops.
Agentic infrastructure-as-code that codifies live cloud and detects drift.
Kubernetes-native GPU orchestration and scheduling for AI compute clusters.
AI-driven chip-design optimization platform applying reinforcement learning to floorplan, placement, and routing — used by major fabless and IDM semiconductor firms.
AI-driven chip implementation tool using reinforcement learning to automate physical-design closure — competing directly with Synopsys DSO.ai.
Autonomous AI SRE agent that investigates incidents across your existing monitoring stack.
AI SRE teammate with transparent, human-approved hypothesis-driven investigation.
AI copilot + agent builder automating incident, request, change, and asset workflows.
Autonomous AI IT technician that resolves a share of routine level-one device and cloud issues.
Agentic internal-IT service desk with honest, measurable deflection.
Internal developer portal becoming an agentic AI hub across the software lifecycle.
AI-native legal assistant for research, contract analysis, document drafting, due diligence, and litigation support. Used by ~100,000 lawyers across 50 of the top 100 AmLaw firms. Agentic workflows for multi-step legal tasks.
The latest AI-powered version of Westlaw featuring Deep Research — agentic AI that creates multi-step research plans, executes iteratively, and produces comprehensive reports with arguments for and against. The definitive legal research platform.
Thomson Reuters' agentic AI legal assistant (now "CoCounsel Legal") that plans, reasons, and executes multi-step legal workflows — document drafting, deposition and document analysis, research, and compliance. A next-generation agentic rebuild on Anthropic's Claude Agent SDK is rolling out in 2026.
AI-powered contract lifecycle management platform streamlining contract creation, negotiation, approval, and compliance tracking for enterprise legal and business teams.
Legal eDiscovery platform with AI-powered document review, privilege detection, and case strategy. aiR suite is standard in RelativityOne at no extra cost. Supports 100+ languages, audio/video transcription, and natural language search.
AI-native patent platform spanning drafting, prosecution, invalidity analysis, and litigation support — the leading dedicated patent-AI product, used across a large share of top patent firms.
AI for patent drafting and prosecution — produces high-quality patent applications and office-action responses across US, European, and Japanese patent offices.
AI patent assistant for drafting, prosecution, and analysis across the patent lifecycle, built to slot into the patent attorney's existing workflow.
Swedish legal AI platform serving 1,000-plus law firms across 50 markets — collaborative document review, contract analysis, due diligence, AI-native research. $5.6 billion valuation (April 2026 Series D extension led by NVentures + Atlassian); $100 million-plus ARR. Direct Harvey competitor with collaboration-first UX.
AI legal-research and drafting platform from LexisNexis — competitive with Westlaw and Harvey for case-law search, summarization, and document drafting.
Contract review and drafting AI built into Microsoft Word — automates redlines, suggests clauses, and flags risks for transactional lawyers.
Machine health platform using AI, vibration sensors, and IoT to predict equipment failures weeks before they cause downtime, deployed in major manufacturing facilities worldwide.
Manufacturing analytics platform that digitizes production data from machines and people, applying AI to identify quality issues, optimize throughput, and reduce unplanned downtime.
Data-driven foundation models for industrial engineering — learning from physics-solver outputs to predict the behavior of physical systems in seconds on a single GPU. Launch partners include Airbus, ASML, Safran, and Siemens Energy.
Cognex’s deep-learning machine-vision line (VisionPro Deep Learning, In-Sight AI, OneVision) for AI defect detection at industrial scale.
Andrew Ng’s AI-native visual-inspection platform that trains defect-detection models from very few images using a data-centric workflow.
Physical-AI robots that use learned perception and grasp planning to load, unload, palletize, and sort variable objects.
Autonomous truck- and container-unloading robots driven by vision and generative-AI foundation models trained on real logistics data.
Enterprise integrated-planning platform (Digital Brain) combining a knowledge graph with ML demand and supply forecasting.
Factory operations platform enabling manufacturers to build AI-powered apps without code, connecting machines, workers, and processes to improve quality and efficiency.
Honeywell's industrial-AI platform delivering analytics, predictive intelligence, and increasingly autonomous process control across plants and connected buildings.
Rockwell Automation's FactoryTalk suite — cloud-based controller engineering (Design Studio) with AI-orchestrated factory design and Emulate3D digital-twin validation, so control systems are built and tested in software before deployment.
ABB's digital platform applying AI and analytics across electrification, drives, process control, and energy assets for predictive maintenance and optimization.
Emerson's DeltaV distributed control system with embedded AI and the DeltaV IQ Controller, running process and power-generation control with software-defined automation.
CloudNC's CAM Assist uses AI to generate most of a CNC machining program — toolpaths and cutting strategies — directly from a CAD model, plugging into CAM packages like Mastercam, Autodesk Fusion, and Siemens NX.
AVEVA's industrial software for the process industries — the PI System operational data historian, Process Simulation, and Predictive Analytics — with a CONNECT-platform AI assistant that lets engineers query plant data in plain language.
Yokogawa's autonomous-control technology — its FKDPP reinforcement-learning AI ran a distillation column unattended for thirty-five days and now runs multiple control agents at plant scale, alongside the CENTUM VP control system and OpreX automation brand.
Imubit's Optimizing Brain uses deep learning and reinforcement learning to model an entire process unit and control it in a true closed loop, writing setpoints back to the plant — the pioneer of Closed Loop AI Optimization for refineries and chemical plants.
Seeq is advanced analytics for the time-series sensor data of process plants, with a generative-AI assistant that lets engineers investigate operations and build analyses in natural language across chemicals, oil and gas, and pharma.
Generative AI assistant for shop-floor engineers and operators — integrated across Siemens automation, PLM, and digital-twin platforms.
AI manufacturing-inspection platform that pairs learned visual anomaly detection with upstream root-cause attribution for electronics and assembly.
Self-training AI visual-inspection system (VisionStream) that reaches accuracy by observation and inspects at high line speed.
Deep-learning automated optical inspection for automotive-component manufacturing, offered partly as robots-as-a-service.
Deep-learning tools within Zebra’s Aurora machine-vision suite for complex inspection, built for OEMs and integrators.
End-to-end AI-enabled warehouse-automation system of autonomous bots, structure, and orchestration software.
MujinOS robot-intelligence controller giving multi-brand industrial robots real-time perception and autonomous motion planning.
AI food-assembly robots that use learned manipulation to portion thousands of deformable, variable ingredients at production scale.
Autonomous robotic welding using vision-based scanning and AI weld-path planning for high-mix metal fabrication.
AI-driven robotic sheet-metal forming (RoboCraftsman) using ML closed-loop control and 7-axis robots for aerospace and defense.
Decision-intelligence platform using ML and AI agents (Cognitive Skills) to recommend and execute supply-chain decisions in real time.
Concurrent supply-chain planning platform with ML forecasting and 2026 AI agents, for large discrete manufacturers.
Graph-based factory and supply-chain orchestration control tower plus generative AI for complex discrete manufacturers.
AI co-pilot for metal 3D printing that predicts build defects in near-real time and auto-generates machine-specific print files; integrated into EOS and Autodesk Fusion.
No-code AI defect-detection platform combining supervised deep learning with unsupervised anomaly detection; retrofits legacy AOI at semiconductor scale.
Software-defined AI perception (SightWorks) for vision-driven picking, kitting, and bagging on third-party industrial robots.
Industrial 3D-vision and embodied-AI software ("eye plus brain") powering third-party robot arms for picking and assembly.
AI for MRO materials and inventory: ML harmonizes messy material-master data and predicts spare-parts stock levels.
Supply-chain analytics (ELI) using ML to detect bottlenecks and demand shifts and recommend throughput improvements.
Materials and formulation AI whose Alchemite engine learns from sparse, noisy experimental data to guide materials discovery and process development.
AI-driven mineral exploration — machine learning over vast geoscience data to predict undiscovered deposits of copper, lithium, and other critical metals; behind a major Zambia copper discovery.
Caterpillar's autonomous haulage and fleet-management suite for mining — hundreds of driverless trucks that have hauled billions of tonnes across three continents.
Komatsu's Autonomous Haulage System — the pioneer of driverless mining trucks since 2008, reaching its 1,000th autonomous ultra-class truck in 2026.
Sandvik's underground mining-automation platform — autonomous loaders, trucks, and drills with 3D perception; upgraded in 2025 as AutoMine Aura.
Satellite-connected smart seismic sensors plus AI for critical-minerals exploration — 3D subsurface imaging used by 40-plus explorers including Rio Tinto and Barrick.
AI mineral-exploration platform that predicts critical-mineral targets and vertically integrates its own drilling and lab; venture-backed, with palladium and gold discoveries.
Cosmic-ray muon tomography plus AI to image deep orebodies — an X-ray for the earth — anchored by a five-year Rio Tinto partnership.
SLB's Delfi cloud platform with the Lumi AI layer — AI across the oil-and-gas upstream lifecycle from seismic interpretation to reservoir modeling, drilling, and production, plus a 2026 marketplace of domain AI agents.
Halliburton's cloud subsurface-and-drilling suite — AI for seismic interpretation, reservoir modeling, and well construction, extending toward autonomous drilling via LOGIX.
Baker Hughes' automated field-production solution — AI that forecasts and optimizes oil-and-gas production, manages artificial lift, and adds a generative-AI assistant for field engineers.
Real-time drilling-and-completions AI for oil and gas — predictive drilling analytics, frac monitoring, and edge insights delivered to rig crews as the well is drilled.
Interactive deep-learning seismic interpretation — label a fraction of a survey and get full 3D predictions in seconds, plus the VDS cloud seismic data format.
Industrial DataOps and agentic-AI platform that contextualizes messy heavy-industry data into a knowledge graph and low-code AI agents; used in oil and gas (now a Schneider Electric company).
AI-powered commercial real estate research platform providing brokers, investors, and developers with market analytics, property intelligence, and portfolio management tools.
AI-enhanced construction and real estate project management platform with predictive cost analytics, document intelligence, and safety monitoring across the building lifecycle.
AI real-estate CRM (formerly Chime) whose AI inside-sales agent prioritizes and nurtures agent leads.
One of the most-deployed brokerage platforms (formerly kvCORE) with a behavior-driven smart CRM and AI copy.
The leading institutional CRE deal-management platform, with AI deal-data extraction from offering memorandums.
The largest CRE leasing and asset-management platform, with an AI leasing and lease-abstraction copilot.
Category-leading conversational AI for property management and multifamily leasing across the resident lifecycle.
An agentic AI copilot inside AppFolio that runs leasing, billing, and maintenance workflows.
A generative-AI layer across Yardi's enterprise property-management platform, with photo-based work-order AI.
Real-estate computer vision that turns listing photos into hundreds of standardized data points.
A lending-grade machine-learning automated valuation model enriched with computer-vision condition data.
The 3D digital-twin leader; Cortex and generative AI build and virtually remodel spaces from a scan.
AI real-estate marketing platform — agent websites, content, and an AI relationship CRM.
Automated valuation model (AVM) and property analytics platform providing AI-driven property valuations and market forecasts used by lenders, investors, and iBuyers.
AI-driven real-estate lead generation plus conversational voice and text follow-up.
Conversational AI inside-sales agent that qualifies real-estate leads and books appointments.
Agent copilot (Lucy) that auto-builds listing marketing, microsites, and client communications.
High-end real-estate IDX websites and CRM with AI lead-response drafting and routing.
AI transaction coordinator that reads the contract and builds the full closing timeline.
Brokerage transaction-management software with AI compliance auditing and agent coaching.
Real-estate data-integration and knowledge-graph platform for building AI agents on connected property data.
AI platform for multifamily investors, lenders, and brokers — underwriting, sourcing, and deal pipeline.
Machine-learning valuation and underwriting for multifamily — separate rent, expense, and cap-rate predictions.
CRE document automation that turns rent rolls and financials into structured underwriting models.
AI rent-roll and T12 extraction plus multifamily proforma generation in minutes.
AI development-management platform for real-estate cost control, bid review, and forecasting.
Multifamily software suite with AI leasing (Lumina), CRM (Knock), and revenue management (with antitrust context).
Property-management operating system with the ELI+ AI suite for leasing and collections.
AI leasing and collections assistant (Kelsey) with human agents backing up the AI.
AI digital teammate (Adam) for multifamily property operations across the resident lifecycle.
Renter-centric multifamily CRM with agentic AI leasing, renewal, and maintenance workflows.
Geospatial AI that reads parcel- and structure-level property risk from aerial imagery.
AI automated valuation model plus computer vision for condition-adjusted home valuations.
AI-native property-data platform covering ~160 million US properties, with an MCP server for AI agents.
Geospatial AI on decades of aerial imagery; the agentic EagleView Horizon property-intelligence engine.
High-resolution aerial imagery with ML attribute extraction and remote roof assessment.
Real-time home AVM with computer vision and predictive remodel-return analytics.
Generates accurate, measured floor plans from a phone walkthrough video.
Robotic camera plus AI that turns one scan into photos, floor plans, tours, and a listing website.
AI-first virtual staging that furnishes empty rooms from a photo in seconds.
AI virtual staging plus interior and exterior redesign from a room photo.
Web-based AI rendering for interior design, virtual staging, and architectural visualization.
Real-estate-specific AI photo enhancement for listing photography.
Zillow's AI — the Zestimate machine-learning valuation model plus an AI-guided natural-language home-search assistant.
AI-powered personalization platform for e-commerce and retail, delivering individualized product recommendations, content, and pricing to each visitor based on real-time behavioral signals.
E-commerce personalization platform using AI to deliver hyper-personalized product recommendations, content, and pop-ups across online stores to increase conversion and average order value.
AI features (Breeze AI assistant, content tools, predictive lead scoring) embedded across the HubSpot CRM, marketing, sales, and service platforms.
AI layer embedded across the entire Salesforce platform — predictive analytics, generative content, and conversational AI for sales, service, and marketing.
Real-time supply chain visibility platform using AI to track shipments, predict delivery delays, and optimize logistics operations across global ocean, air, and ground freight networks.
Fleet intelligence platform using AI dashcams, GPS tracking, and predictive analytics to improve safety, fuel efficiency, and regulatory compliance for trucking and logistics fleets.
Tesla's Full Self-Driving technology and dedicated Cybercab robotaxi entering production April 2026. Vision-only autonomous driving with ~2M FSD-capable vehicles.
Most commercially advanced autonomous robotaxi service. Operating in 10+ US cities with 170M+ fully autonomous miles driven. 91% fewer serious-injury crashes vs human drivers.
Amazon's purpose-built autonomous robotaxi with bidirectional design. Operating in San Francisco and Las Vegas, expanding to Austin and Miami. Uber partnership.
First commercial driverless trucking platform at scale in the US. 10 routes, 250,000+ driverless miles, zero collisions. Partners: FedEx, Werner, Uber Freight.
Level 4 autonomous-trucking system running driverless commercial freight; the first pure-play autonomous-trucking company to go public (Nasdaq: KDK).
AI-native end-to-end autonomous-driving stack validated in the Waabi World generative simulator, for trucks and robotaxis.
Publicly traded (Nasdaq: PONY) Level 4 robotaxi and robotruck fleet scaling across 20-plus cities.
Publicly traded (Nasdaq: WRD) robotaxi/robobus operator with the broadest international footprint — 40-plus cities in ~12 countries.
The dominant AV development, simulation, and validation toolchain ($15B) — the picks-and-shovels platform for building autonomous vehicles.
AI parcel sortation (AmbiOS) combining computer vision and reinforcement learning to sort arbitrary parcels day-one.
General-purpose autonomous fulfillment robotics ($1B, FedEx-led) running learned pick-pack-ship manipulation.
Public pure-play sidewalk-delivery robot (Nasdaq: SERV); Level 4 autonomous navigation on last-mile delivery.
Largest proven autonomous sidewalk-delivery network; mature navigation/mapping/CV run robots ~99% autonomously.
Long-range autonomous delivery drones ($7.6B); autonomous flight, detect-and-avoid perception, and routing at 2M-plus deliveries.
AI pooled/shared-truckload freight matching evaluating trillions of combinations to fill trucks profitably.
Federated-ML supply-chain intelligence ("the Google Maps of trade") mapping multi-tier value chains.
AI fleet-operations platform + AI Dashcam (formerly KeepTruckin); vision-based unsafe-driving detection; IPO-track (NYSE).
Vision-first AI driver-safety dashcams (Driver·i / GreenZone) with 360-degree edge computer vision.
AI collision-avoidance and situational awareness for ships; real-time computer vision detects non-cooperative vessels.
AI flight-operations and air-traffic optimization (Flyways, PRESCIENCE); predictive 4D-airspace models; 12-year $875M FAA contract.
AI predictive maintenance for rail switches (KONUX Switch); sensor data plus AI analytics forecast turnout failures.
Vision-based ADAS and autonomous-driving AI platform (Intel-owned) supplying technology to over 30 global automakers.
Daimler Truck-backed Level 4 virtual driver co-engineered with the Freightliner Cascadia, targeting a 2027 commercial launch.
Autonomous middle-mile box trucks on fixed, repeatable B2B routes; driverless commercial operations for major retailers.
Lean, capital-efficient Level 4 autonomous trucking; delivered the US industry’s first fully humanless commercial truckload in 2026.
Cab-less autonomous electric truck (the Pod) plus an electric-freight fleet-orchestration platform; European public-market entrant.
Toyota-backed autonomous shuttles/microtransit scaling to robotaxis with Multi-Policy Decision Making autonomy.
Level 4 autonomy software licensed to automakers and mobility platforms (Uber/Lucid), built on NVIDIA Drive Thor.
AI-first, vision-only autonomy software (Helm.ai Driver) + generative-simulation foundation models, supplied to automakers.
AI vision (PickOne) for parcel picking and depalletization; supervised autonomy with human-in-the-loop for edge cases.
Collaborative warehouse picking AMRs (LocusBots) at 300-plus sites; autonomous navigation plus fleet orchestration.
Vendor-agnostic warehouse orchestration (GreyMatter multi-agent decisioning + DeepNav) coordinating mixed robot fleets.
Public pure-play warehouse-AMR leader (HKEX: 2590); goods-to-person and sortation robots with fleet-navigation AI.
AI supply-chain visibility (Loft AI) with predictive-ETA machine learning and an agent layer.
AI decision automation for carriers (Artificial Decision Intelligence) using stochastic optimization for load acceptance and dispatch.
Predictive supply-chain-risk intelligence (iQ / i-Score) across six domains over a sub-tier supplier graph.
Enterprise video telematics with machine-vision event detection plus an AI coaching assistant.
AI voyage and vessel-performance optimization; ML fuel-consumption models cut cost and emissions and support CII compliance.
Retrofittable autonomous and remote vessel command-and-control (SM300) for workboats and defense.
Maritime AI risk and domain-awareness; ML behavioral models over vessel-tracking and trade data flag sanctions and dark activity.
AI autopilot for cargo and large aircraft (Merlin Pilot); the only public pure-play in the cluster (Nasdaq: MRLN), pre-certification.
Autonomous battery-electric rail vehicles for short-haul freight; perception and autonomy move rail cars without a crew.
Sidewalk delivery robots for merchants and food; scaling autonomy from a supervised-teleoperation base.
Predictive supply-chain disruption forecasting using ML over supply-chain and external data.
Predictive collision-avoidance driver safety; dual-facing AI anticipates risky situations before a crash.
AI airport turnaround monitoring (ApronAI); computer vision on apron video detects turnaround events.
AI water-leak detection that finds and sizes leaks to cut non-revenue water.
AI utility platform for demand forecasting, hydraulic modeling, and water-loss control.
Satellite radar and AI that detect underground water leaks and infrastructure risk from space.
AI control-room assistant that autonomously optimizes water pump schedules and treatment operations.
AI analytics suite for water and wastewater operations, from pumps to treatment to asset planning.
Accessible water-network digital twin with AI tools for pumping and network optimization.
Hydraulic modeling and water digital twins with a natural-language AI assistant (Bentley Copilot).
Deep-learning analysis of sewer CCTV footage that auto-detects and codes pipe defects.
Computer vision that auto-codes pipe-inspection footage and turns it into capital plans.
Fixed acoustic-sensor network and AI correlation for continuous water-leak monitoring.
Autonomous water-quality analyzer and AI monitoring for real-time contaminant detection.
Fully managed ML platform covering the entire lifecycle: data prep, training, deployment, monitoring. Includes Studio (IDE), JumpStart (model hub), Pipelines (MLOps), HyperPod (distributed training), Canvas (no-code ML).
Free no-code AI app builder powered by Amazon Bedrock. Build chatbots, content generators, and image creators through a visual interface. No AWS account required. Designed for learning and experimentation.
AI-powered Go-to-Market platform with Content Agent Studio, prospecting agents, inbound lead processing, ABM, and deal coaching. Supports GPT-4o, Claude, and other models. 90+ prebuilt tools, 25+ languages.
AI-powered tools for e-commerce including product description generation, image editing, store building, and Sidekick AI assistant for merchant business decisions.
Klarna's AI shopping and customer-service assistant. Initially credited with doing the work of roughly 700 agents, Klarna later walked back its AI-only support stance and re-introduced human agents for complex cases after service-quality concerns — a noted lesson on the limits of AI customer service.
Google DeepMind's embodied-AI model family — an embodied reasoning model that plans and orchestrates robot tasks, a vision-language-action model for motor control, and an on-device variant. Headline capability is whole-body control for humanoids.
Leading robotics AI platform (simulation, ROS packages, RL training) built on Omniverse 3D simulation. Used by Figure, Agility, Boston Dynamics. Free for individuals.
Tesla's Gen 3 humanoid robot with 1,000+ units deployed in factories. 25 actuators per hand, 3,000+ task capabilities, targeting $20,000 production cost.
Full-stack robotics startup pairing the GENE-26.5 foundation model with proprietary human-anatomy-mimicking robotic hands and a sensor-laden data collection glove. Demoed cooking, playing piano, and solving Rubik's cubes May 6, 2026. $105 million seed (July 2025) co-led by Eclipse and Khosla Ventures.
Open-source 2.6 billion parameter video world model from NVIDIA Labs. Apache 2.0; generates 720p, minute-long video with 6 degrees of camera-pose control. Designed as a baseline for embodied-AI and robotics research at consumer-GPU compute budgets. Paper at arXiv:2605.15178.
Mistral AI's first embodied-AI model — an 8 billion parameter vision-language-action model that steers robots through unfamiliar environments using only a single RGB camera, with no LiDAR, depth sensors, or pre-built maps. Reports 76.6% success on unseen Room-to-Room continuous-environment navigation benchmarks; hardware-agnostic across wheeled, legged, and flying robots. Announced July 2026.
Foundation model for general-purpose robotics. Controls 7 different robot embodiments across 60+ manipulation tasks — a breakthrough in robot generalization from a single model.
Third-generation humanoid robot from Figure AI ($39B valuation). Figure 02 deployed at BMW (30,000+ X3s). Figure 03 targets home use at $20,000.
All-electric humanoid robot commercially deployed in warehouse and logistics. 56 degrees of freedom. Shipping to Hyundai and Google DeepMind.
Neura 4NE-1 ("for anyone") is German robotics company Neura Robotics' humanoid robot, built for series production and powered by the company's cognitive-robotics stack and Neuraverse skills ecosystem. Designed for manufacturing and warehouse work, it sits at the center of Neura's 2026 funding round — one of the largest in robotics history, backed by Amazon, NVIDIA, Bosch, and others.
Alibaba Tongyi Lab's suite of three foundation models for embodied AI — Qwen-RobotNav for navigation, Qwen-RobotManip for object manipulation, and Qwen-RobotWorld for physics-aware world prediction. Together they form a software stack that lets robots move through spaces, handle objects, and reason about the physical world, launched into pilot testing with Alibaba Cloud enterprise customers in June 2026.
Humanoid-robotics foundation models startup founded by ex-NVIDIA researcher Xiaolong Wang and ex-Fauna Robotics co-founder Lerrel Pinto. Acquired by Meta in May 2026 and folded into Meta Superintelligence Labs to build foundation models for humanoid robot control and self-learning.
A human-sized bipedal warehouse robot from Agility Robotics — deployed commercially under a Robots-as-a-Service contract with logistics operator GXO and built at the RoboFab humanoid factory in Oregon.
Unitree's compact, research-focused humanoid robot — part of a low-cost lineup that has made Unitree the highest-volume humanoid maker in the world.
Mobile home robot that folds laundry and tidies rooms — autonomous by default with a remote-teleoperation fallback; deliveries begin fall 2026.
Physical-AI systems that automate large-scale outdoor construction — AI-controlled arms and machinery unload and place solar panels with sub-millimeter precision, roughly four times faster than manual crews, cutting labor strain and on-site injuries.
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