01 / capability
Context ingestion and normalization
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Knowledge & context · Concept
Make the knowledge answerable.
An enterprise context infrastructure platform for collecting, governing, retrieving and delivering trusted information to AI and software systems.
01
What it is
ContextInfrastructure is built for Enterprise AI teams, data architects, developers.
The problem
ContextInfrastructure replaces fragile RAG pipelines, custom context retrieval and fragmented data connectors.
The approach
An enterprise context infrastructure platform for collecting, governing, retrieving and delivering trusted information to AI and software systems.
The boundary
Work stays inside an explicit scope: named sources, defined permissions, bounded execution, retained evidence.
02
Capabilities
Five contracts the product is specified around. Each one is a boundary as much as a feature.
02 / capability
Provenance and quality scoring
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
03 / capability
Policy-based retrieval and delivery
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
04 / capability
Context versioning and caching
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
05 / capability
MCP, API and SDK interfaces
Defined as an explicit contract so operators can review it before it runs.
03
How it works
The same three steps apply whether a person or an agent is driving.
01
Define the scope
Start from the boundary ContextInfrastructure is allowed to act inside: the workspace, the sources, the budget, the authority.
02
Connect the surfaces
Expose the same capability through the interface a human uses and the interface an agent calls, with one permission model.
03
Act with evidence
Every action leaves a record that can be inspected, replayed and challenged before the next one runs.
Read the specification before you believe the category.
ContextInfrastructure is documented as a concept: requirements, interfaces and evidence expectations. It is not presented as a live service.