What Is an Enterprise Context Layer?

An enterprise context layer sits between a company's data sources and its AI applications. It connects to the systems where work happens, organizes what it finds, and answers one question for any AI tool: what context does this task need?

Enterprise context is the knowledge itself. The context layer is the system that collects, maintains and delivers it.

• Connectors to email, chat, documents, tickets, CRM, code and other sources.
• A context graph that links people, customers, projects, documents and decisions.
• Permissions carried over from each source, so AI sees only what the user may see.
• Provenance and time: where each fact came from and when it was true.
• A retrieval interface that agents and assistants call for context.

Without a shared layer, every AI tool builds its own connectors, its own index and its own permission logic. Each tool sees a different slice of the company, and they disagree.

A shared context layer gives every tool the same facts, keeps them current in one place, and enforces access rules once. It also makes context engineering a company capability instead of a per-project task.

Models provide reasoning. Applications and agents provide workflows. Source systems hold the raw records. The context layer connects the last to the first two, so models reason over the right company facts.

East River Labs builds an enterprise context layer. Want to see it on your data?