Glean

AI search across company knowledge

Paid Updated Sep 18, 2026
Origin United States Founded 2019 Type AI Tool Visit Now
AI Agents AI Search Engine Enterprise Teams Sales & Support Teams HR & Recruiters Developers
Overview

What is Glean?

Scattered workplace information becomes easier to find with Glean, which retrieves relevant documents, conversations, and answers without ignoring existing access controls.

Finding answers across the stack

Glean gives employees one place to locate information spread across Google Workspace, Microsoft 365, Slack, Jira, Salesforce, GitHub, and other business systems. Employees can search for people, documents, conversations, and company-specific terminology. Generated responses include links to the underlying material, making important details easier to verify.

How it fits daily work

Most teams use Glean through its web interface and workplace integrations rather than moving content into another repository.

  • Ask natural-language questions about policies, projects, customers, or code.
  • Open the relevant thread, document, ticket, or record from a result.
  • Create reusable assistants for recurring internal tasks.

Ranking adapts to an employee’s role and working relationships, which is particularly useful in large organizations with overlapping knowledge.

Buying and running Glean

Glean is sold to organizations through custom contracts rather than published self-serve plans. Deployment requires IT involvement to approve connectors, configure governance, and monitor indexing. Results depend heavily on content hygiene. Stale pages, duplicate documents, and inconsistent permissions can still cause confusion, while broad rollouts take meaningful administrative work.

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The honest read

Highlights & limitations

What stands out
  • Search works across a wide range of enterprise SaaS tools.
  • Answers link back to original company material for verification.
  • Existing permissions remain in effect instead of creating a separate access model.
  • Personalized ranking makes large, overlapping knowledge bases less cumbersome.
  • Strong at finding internal acronyms, people, and project context that public AI assistants lack.
Worth knowing
  • Pricing is not public and is aimed at enterprise contracts.
  • Connector setup, permission review, and rollout require sustained IT ownership.
  • Poorly maintained source content produces stale or contradictory answers.
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