Skip to content

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

  1. Connectors: The integrations used to pull data from external apps (e.g., Slack Connector).
  2. 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.
  • Notion AI (Internal knowledge search within Notion)
  • Perplexity (Alternative for external/web search)

Sources / References

Contribution Metadata

  • Last reviewed: 2026-04-26
  • Confidence: high