- Gartner has recognized Glean in the Emerging Leaders quadrant for generative AI knowledge management, reflecting a shift in how enterprises evaluate AI — with greater focus on reliability, scale, business context and measurable outcomes.
- The Glean Work AI platform supports everyday enterprise workflows through the Enterprise Graph, personalized context, agent capabilities and deep interoperability with existing tools — all built with security, governance and observability at the core.
- Organizations across industries are using Glean to access knowledge more quickly, automate routine tasks and improve decision-making, reinforcing that Work AI is becoming part of how teams operate day to day.
We are excited to share that Gartner has recognized Glean as one the Emerging Leaders in the 2025 Gartner® Emerging Market Quadrant of the 2025 Innovation Guide for Generative AI Knowledge Management Apps and General Productivity.
In our opinion, this placement reflects how quickly expectations for enterprise AI are evolving. Leaders are looking for systems that understand their business, respect their policies and support the work their teams do every day. Experimentation is no longer the benchmark. Reliability, scale and real outcomes are.
In our opinion, this report and Emerging Market Quadrant reflects a shift we are seeing across the market. Many organizations now treat generative AI as part of their core work stack. Leaders want AI that helps people find context, move work forward and share information with clarity. That direction aligns with what we hear from customers who are weaving Work AI into the way their teams collaborate and get things done.
A Work AI platform built for everyday work
Enterprises don’t just need a search bar or a chatbot. They need a Work AI platform that understands their people, their knowledge and their workflows.
We’ve seen customers bring Glean into more of their everyday workflows as they look to do more with AI. To support that momentum, we invested in our platform to match the growing range of what they wanted to accomplish.
Glean connects to the tools teams already use and learns from the relationships between people and content. This intelligence is captured in our Enterprise Graph — a combination of a company-wide knowledge graph and each individual’s personal graph. It brings together projects, experts, and company knowledge in a permission-aware way. This context is what lets Assistant and Glean Agents respond and take action in a way that feels highly personal, relevant, and accurate responses.
That foundation powers improvements across the product, including a more advanced Glean Assistant. Assistant now offers two modes — Fast and Thinking — that let users choose the right balance of speed and depth. It also surfaces relevant snippets, citations and images drawn directly from Enterprise Graph context, helping people work with more clarity.
Agents that can handle real work
Many organizations are experimenting with AI agents. The hard part is putting agents into the hands of every employee in a way that feels safe, useful, and approachable.
That’s why we’ve focused on making Glean Agents something anyone can use and build. Glean’s unified agent builder gives teams one place to turn ideas into working agents, using natural language to describe goals and shape how agents should behave. Powered by our Agentic Engine 2, Fast and Thinking modes let agents handle everything from quick, repetitive tasks to complex multi step work that demands deeper reasoning.
We are democratizing access to agents across the enterprise. With governance controls built in, any team — from Legal to HR to Engineering — can bring AI into their day-to-day work with confidence.
Connected to the tools and data customers already use
Glean is deeply connected and interoperable with the tools employees already use, with over 100+ connectors spanning SaaS applications, ticketing systems, content repositories, and more. Our work with platforms like Databricks AI/BI Genie and Snowflake Intelligence gives users a single place to ask questions that combine structured data with the rest of their company knowledge.
Behind the scenes, our MCP servers bring the same full enterprise context to other AI surfaces across the business. They help teams maintain consistent permissions, tool access, and governance while giving them flexibility in how they adopt AI.
Customers and partners are building on this foundation
The most important proof point of any platform is what customers do with it.
None of this is possible without our growing community of enterprise customers. They are the ones bringing Glean into the core of how their organizations operate, testing the boundaries of what can be automated and showing us what’s possible when agents are in the hands of every employee.
We are grateful to our customers and partners who push us to think bigger and share candid feedback. By experimenting with how agents can support their workflows, they help us see what is possible and shape where we take the platform next.
If you want a closer look at where Work AI is going next, we invite you to join us at Glean:LIVE on December 10. Hear from leaders who are putting these ideas into practice and see the newest ways AI is shaping how teams get work done.
Gartner, Innovation Guide for Generative AI Knowledge Management Apps, Marko Sillanpaa, Justin Tung, Stephen Emmott, Darin Stewart, 13 November 2025
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