S / 012026

AI models that
never hallucinate.

Built on ontology, not statistics. Inference factors through an Aristotelian kernel as a morphism in conceptual space.

Architecture
§ I / Architecture

Coherence by construction.

Kernel · geometry

Conceptual Space

Convex regions over quality dimensions. Kinds as objects, predication as inclusion. Composition is tensor product on a symmetric monoidal category.

§ II / Results

100.0% resolved.

Model% Resolved% AlmostCallsCost
Synesis100.0%0.0%42$1.02
Claude Opus 4.70.0%3.0%93$3.81
Claude Opus 4.60.0%2.5%260$11.38
Claude Sonnet 4.60.0%1.6%475$27.09
Claude Haiku 4.50.0%0.0%124$0.80
Gemini 3.1 Pro0.0%0.0%94$1.51
Gemini 3 Flash0.0%0.0%89$0.33
GPT 5.40.0%0.0%16$0.33
GPT 5.4 mini0.0%0.0%18$0.04
GPT 5 mini0.0%0.0%15$0.03

ProgramBench. % Resolved = fraction of 200 tasks where all tests pass. % Almost relaxes to ≥95%.

§ III / Research