Learn About Microsoft's AI Products
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Start Learning Free📋About Microsoft
Updated July 4, 2026Microsoft Corporation is one of the world's most valuable companies, founded by Bill Gates and Paul Allen in 1975. The company's products and services — Windows, Office/Microsoft 365, Azure, LinkedIn, GitHub, Xbox — touch billions of users and virtually every enterprise on earth.
Microsoft has made the largest corporate bet on AI in history through its partnership with OpenAI (investing over $13 billion) and its integration of AI across every major product. Microsoft 365 Copilot brings AI assistance to Word, Excel, PowerPoint, Outlook, and Teams. GitHub Copilot has become the most widely used AI coding tool. Azure AI provides enterprise-grade AI infrastructure and model hosting. Bing Chat (now Microsoft Copilot) combines search with conversational AI.
Microsoft's AI strategy leverages its unique distribution advantage: with over 1.5 billion Office users, 60 million GitHub developers, and the #2 cloud platform globally, Microsoft can deploy AI to more enterprise users faster than any other company. CEO Satya Nadella's early OpenAI partnership has positioned Microsoft as the primary commercial channel for the world's most advanced AI models, while Azure has become the cloud of choice for AI startups and enterprises alike.
Increasingly, Microsoft is also building frontier AI in-house. Its first-party MAI (Microsoft AI) family spans models for reasoning, coding, image, voice, and transcription — led by MAI-Thinking-1, a mid-sized reasoning model Microsoft says matches Anthropic's Claude Opus 4.6 on the SWE-Bench Pro coding benchmark, and MAI-Code-1-Flash, a lightweight coding model tuned for GitHub Copilot. Owning the models — rather than only distributing OpenAI's — gives Microsoft control over cost, availability, and product integration, and hedges its long-term dependence on any single lab even as the OpenAI partnership remains central.
At its Build 2026 conference, Microsoft signaled how broad that in-house ambition has become. Mustafa Suleyman's AI superintelligence team introduced a family of seven first-party MAI models spanning reasoning, coding, image generation, voice, and transcription. The company unveiled Project Solara, a chip-to-cloud platform for "agent-first" devices — hardware where AI agents, rather than apps, are the primary way people get things done. And it presented Majorana 2, a next-generation topological quantum chip its researchers say they designed and fabricated with help from agentic AI, on a roadmap toward a commercially useful quantum computer by 2029. Taken together, these point to a company betting on owning the full AI stack — models, agent platforms, and even the long-term computing substrate — rather than only distributing a partner's technology.
That multi-model strategy is increasingly visible in shipping products. In June 2026, Microsoft made Copilot Cowork — an agentic layer inside Microsoft 365 Copilot that plans and executes long-running, multi-tool tasks end to end — generally available, with usage-based Copilot Credits billing layered on top of the Copilot license. Cowork is deliberately multi-model, routing across Anthropic's Claude Opus 4.8 and Sonnet 4.6 and OpenAI's GPT-5.5, and Microsoft has disclosed it is evaluating a self-hosted, fine-tuned version of China's DeepSeek V4 (or another open-weight model) on Azure as a lower-cost engine for cost-sensitive workloads. The driver is economics: agentic AI makes hundreds of model calls per task, so cheaper open-weight options help hedge Microsoft's exposure to rising frontier-model inference costs from OpenAI and Anthropic.
Microsoft is also investing in getting those tools deployed, not just shipped. In mid-2026 it stood up Microsoft Frontier Company, a dedicated operating business — backed by roughly $2.5 billion and about 6,000 engineers — that embeds Microsoft's own staff inside customer operations to design and run their AI systems, with early partners including the London Stock Exchange Group, Unilever, and Accenture. The move mirrors similar "forward-deployed engineering" units launched by Amazon, OpenAI, and Anthropic, reflecting an industry-wide recognition that the hardest part of enterprise AI is no longer the model but the last mile of getting it into production.
🛠️Products & Tools (20)
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.
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.
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.
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.
Copilot built into Microsoft Edge. Summarize pages, compare products, generate text in sidebars, and ask questions about the current page content.
Microsoft's cloud storage integrated with Windows 11 and Microsoft 365. Copilot AI can analyze files stored in OneDrive via Word, Excel, and Teams.
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.
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.
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.
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.
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.
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.
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.
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.
AI assistant embedded in Word, Excel, PowerPoint, Outlook, and Teams. Draft documents, analyze spreadsheets, generate presentations, and summarize meetings.
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.
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.
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.
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.