Glean¶
What it is¶
Glean is an AI-powered enterprise search and knowledge management platform that connects all of a company's disparate data sources—from Slack and Google Drive to Jira and GitHub—into a single, unified search and chat experience.
What problem it solves¶
It eliminates "information silos" by providing a centralized gateway to institutional knowledge. Glean understands the context of a company's people, projects, and permissions, allowing employees to find exactly what they need without having to know which specific app the information lives in.
Where it fits in the stack¶
Enterprise Search / Knowledge Management Layer. It serves as the primary "connective tissue" for information discovery across the organization.
Key Features¶
- Unified Search: Search across 100+ popular SaaS applications with a single query.
- Enterprise Knowledge Graph: Maps the relationships between people, documents, and activities to deliver context-aware results.
- Glean Assistant: A generative AI chat interface that answers questions based on the company's internal documentation and conversation history.
- Glean Agents: Specialized AI agents that can automate workflow actions based on retrieved insights.
- Permissions-Aware: Strictly respects existing source-system permissions; users only see information they are already authorized to access.
Typical use cases¶
- Employee Onboarding: Helping new hires find internal policies, project history, and key contacts.
- Customer Support: Enabling support agents to find technical answers across internal wikis and past tickets.
- Engineering Productivity: Finding relevant code documentation, Jira issues, and architectural decisions across repositories.
Getting started¶
Glean is an enterprise-grade SaaS platform. It typically requires administrative integration with the company's SSO and primary SaaS providers.
Minimal Concepts¶
- Connectors: The integrations used to pull data from external apps (e.g., Slack Connector).
- Verification: A feature where subject matter experts can "verify" specific answers to ensure accuracy.
Strengths¶
- Relevance: Superior search ranking compared to basic app-specific search.
- Security: Robust enterprise-grade security, including SOC2 compliance and deep permission integration.
- Actionable AI: Moves beyond just finding files to answering questions and performing tasks via agents.
Limitations¶
- Cost: High-tier enterprise pricing; may not be cost-effective for very small teams.
- Implementation Time: Full indexing and fine-tuning the knowledge graph can take time for large organizations.
Related tools / concepts¶
- Notion AI (Internal knowledge search within Notion)
- Perplexity (Alternative for external/web search)
Sources / References¶
Contribution Metadata¶
- Last reviewed: 2026-04-26
- Confidence: high