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Glean

AI-powered enterprise search and assistant that indexes your company's apps and gives every team a way to find, create, and automate work.

What is Glean?

Glean is an enterprise Work AI platform that connects to all the apps your company runs on, indexes the content, and lets employees search, ask questions, and trigger AI agents across that knowledge base in real time. Instead of searching five different tools to find a Confluence doc someone wrote eight months ago, you ask Glean and it finds it, alongside the relevant Slack thread and the Jira ticket that came after. For teams building AI into their operations, Glean matters because it solves the hardest part of enterprise AI: giving language models accurate, permission-aware context about your specific company.

How Glean works

Glean has three core layers that work together to turn scattered company data into something useful.

  • Connectors: Glean uses pre-built integrations to connect to 100+ workplace apps including Slack, Google Drive, Confluence, Jira, Salesforce, GitHub, and SharePoint. Once connected, each source gets indexed in real time, so search results reflect the latest version of every document, message, and ticket.
  • Enterprise Graph: This is where Glean’s intelligence lives. The Enterprise Graph is an internal knowledge model that maps relationships between people, documents, projects, and conversations across every connected app. When you search for something, Glean does not just match keywords. It uses this graph to understand context, who you work with, what you’re working on, and what’s most relevant to your role.
  • Hybrid Search: Glean combines traditional keyword search with semantic search (search that understands meaning, not just exact wording) to return accurate results even when the query is vague or conversational. This matters for enterprise data, where the same concept gets described differently across teams.
  • AI Assistant: On top of search, Glean has a built-in AI assistant that reads your question, retrieves relevant content from across your connected apps, and writes a synthesised answer with citations. You can ask it to draft, summarise, compare, or explain anything your company has written down.
  • Agent Builder: This lets teams create AI agents that automate multi-step work processes using natural language instructions. An agent might handle IT ticket triage, new hire onboarding checklists, or sales research briefings, pulling data from across connected apps and taking actions in them.

What you can build with Glean

  • Internal knowledge search layer: Replace the endless “does anyone know where the doc for X is?” Slack messages by deploying Glean as the single search interface across Confluence, Drive, Notion, and SharePoint. Give every employee one place to find any company document with a natural language query instead of knowing where to look.
  • New employee onboarding assistant: Build an onboarding agent that answers common new-hire questions automatically. The agent pulls from HR docs, company wikis, benefits guides, and past Slack threads to give accurate, personalised answers without requiring a senior employee to stop and respond.
  • Engineering knowledge base: Connect Glean to GitHub, Jira, and your internal docs so engineers can ask questions like “how does our auth system handle token refresh?” and get an answer assembled from actual code comments, architecture docs, and past incident postmortems instead of digging through repositories manually.
  • Customer support intelligence tool: Connect your support ticketing system, product documentation, and internal wikis to Glean. Build an agent that suggests answers to incoming support tickets by searching historical tickets and docs, reducing average handle time and improving consistency across your support team.
  • Sales research briefing agent: Build an agent that generates pre-call briefings for sales reps. It searches Salesforce for account history, Slack for recent conversations with the contact, and the web for recent news, then assembles a one-page brief before each meeting without the rep having to compile it manually.
  • Custom API-connected knowledge app: Use the Glean API and Agent Builder to create specialised tools for specific workflows. A legal team might build a contract lookup tool. A finance team might build a budget tracker that pulls from spreadsheets, email, and Slack. Glean provides the indexed company context; your agent provides the workflow logic.

Key Features

  • Indexes 100+ workplace apps in real time, from Slack to Salesforce to GitHub
  • Enforces existing source permissions so users only see what they're authorised to access
  • AI Assistant answers questions in natural language with cited sources from across your company
  • Enterprise Graph maps relationships between people, documents, and projects for personalised results
  • Agent Builder lets teams create and deploy AI agents using natural language, no coding required
  • Hybrid search combines keyword and semantic matching for higher accuracy than vector-only approaches

FAQ

How does Glean handle data security and permissions? +

Glean enforces your existing permissions from every connected app. When a user searches, Glean only returns results they already have access to in the source system. The platform is SOC 2 Type II, GDPR, ISO 27001, and HIPAA certified. Your data never trains Glean's models, and the company offers deployment options for compliance-heavy environments.

Which apps does Glean connect to? +

Glean connects to 100+ workplace apps including Slack, Google Workspace, Microsoft 365, Confluence, Jira, Salesforce, ServiceNow, and GitHub. Each integration indexes content in real time so search results stay current. You can also use the Glean API to connect custom internal tools or build connectors to proprietary data sources.

What is the Glean Enterprise Graph? +

The Enterprise Graph is Glean's internal model of your company. It maps relationships between people, documents, meetings, and projects across every connected app. When you ask Glean a question, it uses this graph to rank results by relevance to you specifically, not just keyword matches, which makes answers more accurate than traditional search.

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