Glean

Enterprise AI platform that connects, searches, and acts across all company knowledge

Glean is a Palo Alto-based enterprise AI platform founded in 2019 by former Google Search engineers, initially focused on AI-powered enterprise search and now expanding into a full Work AI platform covering search, AI assistant, AI agents, and knowledge governance. Its central technical asset is a permissions-aware enterprise knowledge graph that connects and indexes content across 100+ business applications — Slack, Notion, Salesforce, GitHub, Jira, Google Drive, and more — mapping relationships between people, content, and activity so answers are personalized and respect each user’s access rights in real time. In June 2025 Glean closed a $150M Series F at a $7.2B valuation and reported $200M ARR (roughly double in nine months), ranking among the faster-scaling pure-play enterprise software companies by that growth rate. The platform supports 15+ LLMs through a unified model hub and has positioned itself as model-neutral to prevent hyperscaler lock-in.

Compliance

GDPR HIPAA ISO 27001 SOC 2

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Key Features

Permissions-aware enterprise knowledge graph: Indexes content across 100+ connected apps and builds a dynamic graph of people, documents, and activities — ensuring every query is answered with content the requesting user is actually authorized to see, with no risk of cross-user data leakage.
AI Search: Semantic, natural language search across the full connected application landscape, delivering personalized results based on role, team, and work history rather than simple keyword matching.
Glean Assistant: A chat-based AI assistant grounded in the company’s own knowledge graph that answers questions, summarizes documents, drafts content, and retrieves information — with citations linking every answer back to its source for verifiability.
Glean Agents (Agentic Engine 2): Autonomous agents that take on multi-step work tasks using the knowledge graph as context, with adaptive planning and parallel sub-agent orchestration — moving beyond information retrieval into task execution.
Glean Protect and Protect Plus: An AI governance and data security layer that surfaces risky content exposure, enforces access policies, and provides full observability into every query and agent action — addressing the trust barrier for enterprise-wide agent deployment.
Canvas co-authoring: A collaborative document creation environment where Glean’s AI drafts and iterates on content alongside teams, connected to the full organizational knowledge base rather than operating from generic world knowledge.

Use Cases

For enterprises reducing time spent searching for information: A company deploying Glean across 14,000 employees lets every team — engineering, sales, support, HR — find answers across all its tools in one place, reducing the context-switching between dozens of applications.
For onboarding new employees at scale: A fast-growing company uses Glean’s knowledge graph to give new hires immediate access to relevant context, documentation, and people — compressing ramp time without requiring manual knowledge curation.
For security and governance-sensitive environments: An enterprise in a compliance-heavy industry deploys Glean with Protect Plus to get full observability into how AI is querying and acting on sensitive data before expanding AI usage company-wide.