Silent Math Auditor – Sovereign AI Verification

Verification without exposure. The Silent Math Auditor applies zero-knowledge proof methodology to AI model evaluation — a model demonstrates the correctness of its reasoning without revealing the prompt, the context, or the internal state. You receive proof. Not a summary. Not a confidence score. Proof.

Built on the SPMT architecture, the auditor operates at 1000× lower computational cost than traditional transformer-based evaluation systems. It runs on hardware as constrained as a smartwatch. There is no GPU farm requirement, no cloud dependency, no third-party trust assumption. The personal API key grants direct access to the /v1/audit endpoint, with full technical specification and 30 days of dedicated support included.

For organisations that require mathematical certainty about their AI systems — not probabilistic assurance, not vendor attestation, not compliance theatre.

• Zero-Knowledge Proof — Model proves correctness without exposing prompt or context.
• SPMT Architecture — 1000× cheaper than traditional transformer evaluation.
• Runs on Any Hardware — Smartwatch to server. No GPU farm required.
• Personal API Key — Direct /v1/audit endpoint access, no shared infrastructure.
• Full Technical Specification — Proof of Silence™ architecture documentation included.
• 30 Days Technical Support — Dedicated onboarding and integration assistance.