Glean
Enterprise search & knowledge discovery solution for modern teams
Overview
Enterprise Search and Knowledge Discovery with Glean
Glean is a cutting-edge enterprise search and knowledge discovery platform designed to supercharge productivity and engagement for modern teams. It leverages deep learning-based LLMs to enable semantic understanding for natural language queries, providing a seamless and efficient search experience across all company apps.
Key Features
Vector Search Utilizes deep learning-based LLMs for semantic understanding, allowing for accurate and relevant search results. This advanced search technology helps teams find exactly what they need with natural language queries.
ChatGPT for Enterprise Delivers answers, analyses, and summaries across documents, conversations, tickets, and more. This feature ensures that employees can quickly get the information they need, improving efficiency and decision-making.
Personalized Results Builds a company's knowledge graph for personalized results. Glean understands the context and preferences of users, providing tailored search results that enhance productivity.
Easy Integration Connects to over 100+ apps with quick setup and scalability. Glean integrates seamlessly with your existing tools and data sources, making it a versatile addition to your tech stack.
Secure and Private Ensures that chats and results are secure, private, and permissions-aware. Glean prioritizes the privacy and security of your data, giving you peace of mind.
Ideal Use Case
Glean is ideal for enterprises, startups, and large organizations looking to enhance their search capabilities, improve knowledge discovery, and boost overall productivity. It's perfect for teams that rely on efficient access to information across various platforms and applications.
Why Use Glean?
- Enhance Search Capabilities: With AI-powered workplace search, finding information becomes quicker and more accurate.
- Discover Personalized Results: Glean tailors search results to individual needs, making knowledge discovery more relevant and useful.
- Integrate Easily: Connect Glean with your existing apps and data sources effortlessly, ensuring smooth adoption and scalability.
- Save Time and Increase Efficiency: Advanced search features help teams work smarter, not harder. Trust in Security and Privacy: Glean ensures that all data is handled securely and respects user permissions.
FAQ
What does Glean help teams accomplish? Glean is an enterprise search and knowledge discovery solution designed to help modern teams find and access information efficiently. It enables organizations to search across their internal knowledge base and discover relevant insights quickly.
Who should consider using Glean? Glean is built for enterprises and modern teams that need a centralized way to search and organize their internal knowledge. It works best for organizations looking to improve how employees discover and access company information.
How does Glean's pricing work? Glean operates on a paid model. Visit the Glean pricing page for current plans and to inquire about pricing tailored to your organization's needs.
How does Glean compare to other search and AI tools? Unlike general-purpose AI assistants like ChatGPT, Gemini, or Perplexity.ai, Glean is specifically built for enterprise knowledge discovery within your own organizational data. It functions as an internal search solution rather than a public internet search tool.
tl;dr
Glean is transforming the way teams access and discover information. By providing an AI-powered search platform that understands natural language queries, it offers a personalized and efficient way to find what you need and discover what you should know. It's a game-changer for productivity and a must-have tool for modern enterprises.
Related
Looking for more options? Browse the Productivity directory or read our best AI productivity tools listicle. Glean has a Wikipedia entry and is tracked on Crunchbase.
Why Use Glean
Editorial Review
Our take on Glean.
The enterprise-search leader has grown into an agent platform: a permissions-aware knowledge graph, 15+ swappable LLMs, and ~$300M ARR behind it. It genuinely works — but budget for $40–80/user/month custom quotes, 100+ seat minimums, and real implementation work.
What works
- Permissions-aware knowledge graph across your whole stack — answers respect access controls, which is the feature that gets security teams to yes
- Model-neutral: 15+ supported LLMs plus a no-code agent builder, so the knowledge layer isn't tied to one lab's roadmap
- Proven at scale — ~$300M ARR by May 2026 and 100M+ agent actions a year, in a category full of demos
What doesn't
- Opaque enterprise pricing: reported $40–80/user/month, 100+ seat minimums, paid POCs, and renewal increases of 30–50% at scale
- Real deployment work — implementation services commonly run $20K–$80K, and value depends on connecting most of your stack, not a pilot corner of it
Glean has outgrown the "searchable brain" pitch we reviewed last year. The foundation is the same — a permissions-aware knowledge graph stitched across your wikis, Slack, docs, and databases, so answers respect who's allowed to see what — but the company now frames itself as a Work AI platform, and the numbers say the market agrees: a $150M Series F at a $7.2B valuation in June 2025, and ARR estimated around $300M by May 2026, up from roughly $208M at the end of 2025. The retrieval layer that made search good turns out to be exactly what agents need, and that's where the product energy has gone.
Glean Agents, launched in early 2025, lets teams build no-code agents that act on that same governed knowledge graph — the company says the platform is handling over 100 million agent actions a year and pacing toward a billion. Two design choices stand out. First, model neutrality: Glean supports more than 15 LLMs, so you're not betting your knowledge layer on one lab's roadmap. Second, governance is a product, not a footnote — Glean Protect is a paid SKU aimed squarely at the "what did the AI just show whom" question that stalls enterprise rollouts. The obvious comparison is Microsoft 365 Copilot at $30/user/month, and the honest split is this: if your knowledge genuinely lives in the Microsoft estate, Copilot's marginal cost is hard to argue with. Glean's case is the heterogeneous reality most companies actually have — Slack and Jira and Confluence and Google Docs and a data warehouse — where Copilot simply can't see most of the answers.
The cost reality deserves plain language. Glean doesn't publish pricing; reported figures run $40–80 per user per month with seat minimums of 100+, paid proofs-of-concept, implementation services commonly in the $20K–$80K range, and customers reporting renewal increases of 30–50% at scale. At 1,500 seats you can be approaching a million dollars a year. Whether that pencils out depends entirely on how many salary-hours your org burns on "I know we documented this somewhere" — for a large company with real document chaos, it often does. For smaller teams, you're paying for sophistication you don't need yet.
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