AI systems with cryptographic evidence they work as claimed. Built for defense, healthcare, finance, and legal where compliance demands proof, not promises.
AI systems that produce cryptographic evidence of correct operation. Founded by Bradley R. Kinnard in Lakewood, Colorado. Federal contractor qualified. UEI and CAGE codes on request.
The verification stack runs 3,962+ tests across four layers: provenance, adversarial verification, contradiction detection, and decision auditing. 0% hallucination rate in controlled runs. 100% required pass rate. Every system ships with test results, source code, and verification artifacts.
Built for regulated environments where 'prove it' is the requirement: defense, healthcare, finance, legal.
Our stack
Verification primitives: SHA-256 hash chains for provenance, Docker-isolated sandboxes for adversarial Red/Blue team testing, entropy scoring for belief audit, multi-path retrieval (RAG + CSWR + CQL policy) for decision auditing.
Engineering: TypeScript and Python. Strict typing, kebab-case filenames, named exports only, full JSDoc, behavior-focused tests, 300-line file limit.
Model and infrastructure agnostic. Verification wraps any inference backend.
Public repos at github.com/Aftermath-Technologies-Ltd. Active: depose, ironroot. Research archive: snre, neuro-symbolic-swarm, aasms.