We feel this recognition highlights Glean’s approach to enterprise agents built on context, governance, and actionability
Enterprise AI leader Glean announced it has been recognized as a Market Shaper in the 2026 Gartner® Emerging Market Quadrant (eMQ) for No-Code Agent Builders – Startup Vendors. In our view, Glean was recognized for its approach to exposing enterprise context, tools, and governance as a shared enterprise agent layer.
According to the Gartner report, Gartner defines the no-code agent builders (NCABs) market as SaaS-delivered products that offer an integrated design and runtime environment to build, publish and manage AI-powered agents without using coding. AI agents are autonomous or semiautonomous software entities that use AI techniques to perceive, make decisions, take actions and achieve goals in their digital or physical environments.
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“We’re proud to see Glean recognized as a Market Shaper in this emerging category,” said Arvind Jain, founder and CEO, Glean. “The future of enterprise AI will be shaped by the people closest to the work, but accessibility alone is not enough. For no-code agents to be useful in the enterprise, they need deep company context, strong governance, secure access to business systems, and the ability to take action across workflows. That is the standard Glean is building for.”
Glean believes no-code agents are becoming a new operating layer for enterprise work, helping teams turn fragmented knowledge into action and giving more people the ability to build AI into the flow of work.
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Built on its Enterprise Graph, Glean connects the apps, documents, conversations, and systems that shape how work gets done. With Glean Agents, organizations can create, use, and manage AI agents using natural language, while giving IT and engineering teams the governance, security, and extensibility needed to trust those agents at scale.
Glean believes the future of enterprise agents is flexible by design: accessible enough for business users to participate in agent creation, while still powerful enough for IT and engineering teams to govern, extend, and trust at scale.
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