Refleqt builds knowledge transformers — models that reason in algebra, refuse what they don’t know, and prove every answer. Five domains verified. Zero hallucination by construction.
Every output ships with an algebraic proof trace. Adapter responses are decoded through a quantisation layer that checks correctness — not plausibility. Five domains pass at 95–100% accuracy.
The model knows what it does not know. Attention-mass concentration detects knowledge gaps at F1 = 0.9999 versus random baseline F1 = 0.317. Out-of-domain queries are refused, not fabricated.
Each domain — groups, graphs, molecules, SQL, logic — is a separate adapter on a shared base. Combine them to solve problems neither could solve alone. Transfer is measurable and decays with algebraic distance.
A reasoning API that returns answers with algebraic proof traces — or refuses and tells you why. Every response includes the answer, the proof, a confidence band, and a calibrated “do not know” verdict.
Pre-trained, proof-certified knowledge adapters that snap into any base model. Chemistry, SQL, group theory, knowledge graphs, description logic. Each adapter ships with its Stage 4 proof certificate.
Chain verified adapters to solve problems that span multiple domains — molecule to SQL query to knowledge-graph triple, end to end with a proof chain. Sheaf consistency checks ensure intermediate representations align.
Drop-in middleware that sits in front of any LLM and blocks hallucinated outputs. Every token stream is scored for competence-region membership. Out-of-domain content is flagged before it reaches the user.
We turn your proprietary domain into a verified adapter with a 4-stage proof certificate. Ship your data; receive a validated knowledge transformer plus the audit report.
16 study sessions. 12 papers. Every negative result published with the same prominence as every win. The proof programme is the architecture.
Whether you need an API, a custom adapter, or a hallucination firewall — we can help.
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