Research

Three programs. Proof before claim.

Each program shows what it has proven, what comes next, and how far along the path to independent verification it is.

Building AI that answers only from knowledge it can point to, and says "I don't know" instead of guessing.

Proven: Governed request handling, sourced knowledge records, fixed knowledge versions and operator-only teaching.
Next: Understanding how the parts of a request relate, then matching them to established knowledge.

Representing data so it rebuilds exactly, byte for byte, every time, with every byte accounted for.

Proven: Exact byte-for-byte reconstruction and identical output on repeated runs.
Next: A complete representation measurably smaller than its input on a declared test collection.

Describing images and sound in exact, repeatable structures that other systems can rely on.

Proven: Deterministic image-structure components on synthetic test images.
Next: The remaining image behaviours implemented, then results on real-world images.

How they relate

One direction, separate evidence.

A result in one program says nothing about another. No integration between them exists yet.

Information

Preserve information exactly and describe it in structured, repeatable forms.
- Data Representation
- Visual and Audio
Understanding

Establish what is known, how concepts relate, and what is still missing.
- Machine Cognition
Governance

Keep behaviour inside explicit constraints, with provenance and validation.
- Part of Machine Cognition
Applications

Products may use research results only after they are validated.
- Products

Conceptual illustration The intended long-term relationship between the research programs. These integrations do not exist today.

These pages publish objectives and results, not methods. The methods are proprietary.