Context infrastructure for AI

The first scalablesemantic layer.

Give every agent the company context it needs to do useful work.

Explore the context layerScroll to understand the layers
Company definitionsBusiness metricsOperating logicAgent contextScoped knowledge
AI can only be as useful as the context it can reach.

Your business runs on definitions, metrics, and logic that live across teams and systems. Without a shared layer, each AI application has to rediscover what the company means.

Cement gives that context a place to live, so it can be scoped to the work and reused wherever agents need it.

The semantic context layer

One foundation.
Context that travels.

A shared layer for the knowledge that makes AI applications specific to your business.

01 / SCOPE

Context at the right level

Organize context by company, team, workflow, or agent so each application gets what matters for its task.

02 / DEFINE

Make business meaning explicit

Bring company-specific definitions, metrics, and business logic into a form AI applications can use.

03 / REUSE

Use context across agents

Make shared knowledge available across applications instead of recreating it for each new agent.

04 / EXTEND

Build without starting over

Give new AI experiences a consistent context foundation as your use cases and teams grow.

About Cement

Business context,
made usable.

Cement is building the semantic context layer for AI applications: a way to make the knowledge already inside a company more accessible, precise, and reusable.

As teams move from AI experiments to agentic workflows, context becomes shared infrastructure. Cement is designed to help that infrastructure scale with the business.

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Build with
better context.

Working on AI applications or agents? We’d like to hear how your team handles company-specific context.

Contact Cement