Foundation · Roadmap

One governed foundation for your data and its meaning.

A single data layer that holds records and their machine-readable meaning together, so intelligence is fast, grounded and governed from the same place your data lives.

The evaluator's problem

Bolted-on AI stacks multiply your data, and your risk.

Separate vector stores and copies scatter sensitive data and blur governance. The foundation should hold data and meaning together, under one policy.

01

How many copies exist?

One governed foundation, not a sprawl of exports and indexes.

02

Is meaning governed too?

Embeddings and structure live under the same policy as the data.

03

Where does it run?

On a customer defined boundary, with jurisdiction and access set by identity.

Capabilities · Accessible by design

Data and meaning, in one place.

An AI native foundation that keeps governance and capability together.

Unified store

Records and their machine-readable meaning in one governed layer.

Grounded retrieval

Retrieve information from records the assistant is allowed to cite.

Access by identity

One access model across data and meaning.

On your boundary

The foundation runs inside your control.

Where it fits

Where the foundation fits.

The base the whole system stands on, feeding intelligence, governed by identity.

Governance & compliance

One foundation, one governance model.

Data and its meaning are designed to work together under a customer defined policy, reducing unnecessary copies and extending governance to the AI layer.

Customer controlled data boundary Human approval where it matters Reviewable activity record Designed to support AI Act governance Designed to support GDPR obligations

Next step

Consolidate one data domain.

We bring one domain onto the unified foundation and show governance covers data and meaning alike.