Glean

Glean is an AI platform built specifically for the enterprise, designed to make AI work by deeply integrating company context.

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What is Glean?

Glean is an AI platform built specifically for the enterprise, designed to make AI work by deeply integrating company context.It serves as more than just a search engine; it is an intelligent hub connecting over 275 enterprise applications (such as Slack, Google Drive, Jira, and Salesforce), ensuring that AI responses are grounded in your organization's unique knowledge base rather than generic internet data.

With Glean Assistant and Glean Agents, employees can create grounded, on-brand content, automate cross-system workflows, and perform deep data analysis.The platform’s built-in Glean Intelligence automatically routes tasks to the most suitable models, combining strict permission controls and data governance (Glean Protect) to significantly reduce token costs while ensuring enterprise-grade security and compliance.

Key features

  • Enterprise ConteUnified retrieval across 275+ connectors to search internal documents and data, providing accurate answers with citations grounded in business reality.
  • Intelligent AgenCustomize AI agents via Agent Builder, orchestrate automated workflows across systems, and discover trusted, reusable agents from the Agent Library.
  • Automatic ModelGlean Intelligence automatically selects the most suitable LLM based on task complexity, optimizing reasoning costs and output quality to prevent resource waste.
  • Permission-AwareBuilt-in Glean Protect strictly adheres to existing enterprise permission structures, ensuring users only access authorized content, compliant with SOC 2, ISO 27001, and more.
  • Proactive AI AssGlean Assistant acts as an enterprise AI coworker, not only answering questions but also proactively surfacing key information, aiding content creation, and executing data analysis.
  • Full ObservabiliProvides complete tracking of every query, answer, and action, helping IT and management monitor AI usage, optimize spend, and ensure ongoing compliance.

How to use it

  1. Contact the Glean team for a demo or sign up to assess your engineering AI stack status.
  2. Configure connectors to integrate 275+ enterprise apps like Slack, Google Drive, and Jira into the Glean platform.
  3. Set up permission mappings to ensure Glean inherits existing enterprise data access control policies.
  4. Use Glean Assistant for daily search, content creation, or data analysis to experience context-grounded AI responses.
  5. Build custom agents via Agent Builder to automate repetitive workflows and optimize costs using model routing.

Where it fits

  • Engineering & R&Quickly retrieve codebases, technical documentation, and incident reports to accelerate delivery speed and improve incident response processes.
  • Customer ServiceInstantly access customer history, product details, and market context to generate personalized customer summaries and sales briefs.
  • Legal & ComplianSecurely search contracts and policy documents within regulated workflows, ensuring all AI interactions comply with regulations like GDPR and HIPAA.

Pricing and free quota

Glean offers customized plans for enterprise customers; specific pricing is available upon requesting a demo from the official site.

Who it is for

  • Enterprise IT & Management
  • Software Engineers & R&D Teams
  • Customer Service & Sales Operations
  • Legal & Compliance Professionals

FAQ

Which enterprise applications does Glean integrate with?

Glean offers over 275 connectors, supporting major enterprise tools such as Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, and Salesforce.

How is data security and permission control ensured?

Glean features built-in Glean Protect, which strictly adheres to existing enterprise permission structures, ensuring users only see authorized content, and is certified with SOC 2 Type II, ISO 27001, and more.

How does Glean help reduce AI usage costs?

Through automatic model routing via Glean Intelligence, tasks are assigned to the most suitable models, and pre-connected enterprise context reduces token waste, significantly lowering the cost per query.

Tags

  • Enterprise Search
  • AI Agents

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