Learning Objectives
- Understand what Glean does and how enterprise AI search differs from web search
- Evaluate Glean Agents and their role in proactive enterprise automation
- Compare Glean to Microsoft Copilot, Google Cloud Search, and Coveo
What Is Glean?
Glean is an enterprise AI search and work platform that connects to 100+ business applications — Slack, Google Workspace, Microsoft 365, Salesforce, Jira, Confluence, and more — and builds a knowledge graph that understands how information relates across your organization.
When you ask Glean a question, it searches across all connected apps simultaneously, respects existing access permissions (you only see what you are authorized to see), and returns RAG-powered AI answers with full source attribution.
With $300 million in annualized revenue (tripled from $100 million in fifteen months) and a $7.2 billion valuation, Glean is one of the fastest-growing enterprise AI platforms. Named customers include Databricks, Reddit, Pinterest, and Samsung. A portion of the $300 million figure reflects annualized consumption-based pricing rather than pure subscription.
CEO Arvind Jain's core pitch in 2026 is that routing AI through Glean's context graph reduces token consumption versus unleashing models directly on raw enterprise systems — a cost-cutting angle that has become Glean's primary differentiator as enterprises grapple with AI spend.
Key Capabilities
- Cross-app search — search Slack, Drive, Jira, Salesforce, and 100+ apps from one interface
- Permissions-aware — inherits access controls from source apps; employees only see authorized content
- RAG-powered answers — generative AI summaries grounded in your company's actual data with source citations
- Knowledge graph — understands relationships between people, projects, documents, and conversations
- Glean Agents (February 2025) — autonomous AI agents that monitor data sources and take actions. Example: monitor GitHub for vulnerabilities, auto-create Jira tickets, notify engineers, escalate if unresolved. 100 million+ agent actions annually, targeting 1 billion by end of 2025
Pricing
Enterprise-only with custom quotes. Estimated $50+ per user per month with a 100-seat minimum. Generative AI features add approximately $15 per user per month. No self-serve or SMB tier.
Glean vs. Competitors
| Platform | Best For | Key Difference |
|---|---|---|
| Glean | Cross-platform enterprise search (100+ integrations) | Broadest integration set; proprietary knowledge graph; permissions-aware |
| Microsoft Copilot ($30/user/month) | Teams 80%+ in Microsoft ecosystem | Cheaper; simpler; limited outside Microsoft apps |
| Google Cloud Search | Google Workspace-native organizations | Best for Google shops; limited outside Google ecosystem |
| Coveo ($99-$114/month) | Customer-facing search (e-commerce, support) | External-facing focus; Glean focuses on internal employee search |
Company Details
| Detail | Info |
|---|---|
| Founded | 2019 |
| CEO | Arvind Jain (10+ years at Google leading Search, Maps, YouTube; co-founded Rubrik) |
| Headquarters | Palo Alto, California |
| Employees | ~1,475 |
| Valuation | $7.2 billion (June 2025 Series F) |
| Total Raised | $765 million |
| ARR | $300 million (May 2026; tripled from $100 million in fifteen months) |
| Website | glean.com |
Key Takeaways
- Glean connects 100+ business apps into a single permissions-aware AI search platform with RAG-powered answers grounded in company knowledge
- $300 million annualized revenue (tripled from $100 million in fifteen months); $7.2 billion valuation; named customers include Databricks, Reddit, Pinterest, and Samsung; 100 million+ agent actions annually
- Cost-cutting context-graph pitch — routing AI through Glean reduces token consumption versus unleashing models on raw enterprise systems
- Enterprise-only (~$50+ per user per month, 100-seat minimum); best for large organizations with data spread across many SaaS tools