Glean is an enterprise AI search and knowledge assistant that addresses one of the most persistent problems in large organizations: information is scattered across dozens of SaaS tools, and employees waste hours each week hunting for answers that already exist somewhere in the company. Glean connects to over 100 work applications — including Slack, Google Drive, Microsoft SharePoint, Confluence, Salesforce, GitHub, Jira, Zendesk, and more — and builds a unified, permission-aware index of everything in those systems. On top of that index, Glean's AI assistant provides conversational answers, document summaries, and proactive recommendations.
Key Features#
Universal Enterprise Search Glean's core capability is cross-application search that respects the access controls of each connected source. When an employee queries Glean, they only see results from systems they have permission to access — Glean does not aggregate or expose privileged data. The relevance model is trained on the company's own usage patterns, so frequently accessed documents and experts surface higher over time. Search results include snippets, source attribution, and one-click navigation to the original document.
Glean Assistant (Conversational AI) Beyond search, Glean offers a conversational assistant that reads across retrieved documents to synthesize answers. Rather than returning a list of links, the assistant composes a direct response with citations — similar to a RAG (retrieval-augmented generation) architecture but with enterprise-grade permission enforcement at the retrieval layer. Users can ask questions like "What is our current vacation policy?" or "Summarize the last three quarters of the engineering team's roadmap updates" and receive coherent, sourced answers.
Glean Apps and Agent Workflows In 2025, Glean introduced the ability to build AI-powered apps and workflows on top of its knowledge layer. These apps can automate repetitive knowledge tasks — such as generating a new hire onboarding brief from multiple HR documents, or drafting a customer-facing response using the latest product documentation. The workflow builder is no-code and designed for business users, not developers.
People and Expertise Discovery Glean indexes not just documents but also the expertise signals embedded in communications — who has worked on which projects, who authored which documents, who answers questions about a particular topic in Slack. This makes Glean useful for internal networking and finding subject matter experts without relying on an org chart.
Security and Data Governance Glean operates with a strong enterprise security model. All connectors use OAuth or service account authentication. Data indexed by Glean is encrypted at rest and in transit. Glean offers deployment options that include data residency in specific cloud regions, and it maintains SOC 2 Type II certification. Crucially, Glean does not train its underlying models on customer data.
Pricing#
Glean is sold exclusively through enterprise contracts. There is no self-serve sign-up or published pricing page. Pricing is per seat annually, and costs scale with the number of employees and connected data sources. Estimates from enterprise software analysts place Glean in the range of $25–$60 per user per month at scale, though exact figures depend heavily on negotiated terms. A free trial or proof-of-concept deployment is typically offered during the sales process.
Who It's For#
- Enterprises with 500+ employees: Glean's value increases with organizational complexity — the more teams, tools, and document repositories exist, the more ROI the search layer delivers.
- Knowledge workers in fast-moving organizations: Roles in engineering, sales, support, and HR that depend on finding up-to-date information quickly benefit most.
- IT and operations teams: Teams managing service requests and documentation can use Glean to surface relevant runbooks, policies, and past incident reports without leaving their workflow.
Strengths#
Breadth of integrations. With 100+ pre-built connectors, Glean requires minimal custom development to get comprehensive coverage of an enterprise's knowledge ecosystem.
Permission-aware retrieval. Glean enforces document-level access controls at query time, which is essential for regulated industries and enterprises with sensitive IP across departments.
Search quality tuned for enterprise. Unlike general-purpose search engines, Glean's ranking model weights recency, internal engagement signals, and organizational graph context — making results more relevant than generic web search applied to company data.
Limitations#
Cost barrier for mid-market. Glean's pricing model makes it difficult to justify for organizations under 200 employees or those without broad SaaS adoption across teams.
Setup complexity. Connecting 20+ data sources requires IT involvement for authentication, permission mapping, and initial indexing — which can delay time-to-value for resource-constrained teams.
Related Resources#
Browse the full AI Agent Tools Directory to compare Glean with other enterprise AI knowledge tools.
For context on how AI agents retrieve and use enterprise knowledge, read our What is an AI Agent guide and the Agent Tracing glossary entry.
If you are evaluating Glean for HR or IT workflows, see our HR AI Agents and IT Helpdesk AI Agents use case guides. For a comparison of cloud AI platforms that often complement enterprise search tools, see the AWS Bedrock vs Azure OpenAI Agents guide. You can also explore LangChain and LangGraph for building custom retrieval pipelines on top of enterprise data.