Enterprise Graph

The foundation of enterprise superintelligence

Glean’s Enterprise Graph understands how your company really works—capturing relationships across people, projects, teams, and processes—to deliver AI that understands your business better than any individual employee.

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Deep enterprise understanding

Glean understands the how of your work, not just the what, by building a rich graph of your entire enterprise context.

Personalized assistance

Empower every employee with an AI partner that surfaces personalized tasks and insights.

A platform for enterprise superintelligence

With Enterprise Graph actions, anyone can create agents that leverage organizational knowledge and context — making sophisticated workflows simple to build and run.

Equip employees and agents alike with multi-hop reasoning.

AI needs context to handle complex tasks the way humans do. When we look at information, we naturally connect it to related work, people, and projects. To make that connection, AI relies on the Enterprise Graph to organize relationships in data — enabling pattern recognition and intelligent action.

Go beyond a surface-level understanding of your content.

The Enterprise Graph builds on a rich knowledge graph that identifies high-value entities — such as projects, people, customers, and products. Each entity is supported by a network of related signals — for example, all the documentation, support tickets, and feature specs connected to a certain product.

This network goes beyond surface-level semantic understanding, providing nuanced context that helps distinguish between specifics, such as similar product names like Gemini 2.0 Flash and Gemini 2.0 Pro.

Protect your data with a graph built for your enterprise.

Building an Enterprise Graph requires indexing not just content, but also the rich metadata that feeds meaningful signals into the graph. This depends heavily on the quality of underlying connectors.

Glean builds these graphs entirely using machine learning by understanding the data structures of enterprise apps and automatically inferring entities. All of this happens in each customer’s single-tenant environment to ensure data privacy.

Make AI work for every employee and every task.

While the Enterprise Graph captures the organizational view, it also incorporates personal graphs that show how individuals across the company really work.

By looking at actions across apps, these personal graphs can infer the broader tasks and projects behind them. This gives models a higher-level view of work. By understanding both what someone works on and how they get things done, Glean can better personalize agents to provide more meaningful support.

Create agents that reflect how your people and enterprise work.

The Enterprise Graph brings together organization-wide knowledge and personal graphs to capture an enterprise’s most valuable assets: data, people and processes. Because people drive core processes, mapping their interactions helps us uncover process knowledge that can guide AI agents.

One of the strengths of these graphs is their dynamic nature — they evolve with changing relationships, roles, and workflows, reflecting the fluid, nuanced reality of work.