AI Governance · Bias · Patent Pending USPTO #64/081,419

AXIOMAX FairAudit

Per-inference bias attestation for high-risk AI systems.

ed25519 · cryptographic signing
SHA-256 · hash-linked chain
Hardware-rooted · on-prem capable
The problem

The regulation is already in force

EU AI Act Articles 9–15 enforce August 2, 2026 on high-risk AI. NIST AI RMF, NYC Local Law 144, and Colorado SB24-205 are already in force in the US. Munich Re now writes AI liability policies that explicitly require independent bias auditing. The AI bias audit market is moving from $400M to $1.4B by 2030, and most auditors today still rely on vendor-supplied test data.

EU AI Act Art 9-15NIST AI RMFNYC LL144
The AXIOMAX solution

Three cryptographic primitives. One audit-grade output.

Patent USPTO #64/081,419 applied to the workflow that matters in your industry. Same substrate that powers our banking, healthcare, and energy attestation stacks.

01

Bias and fairness metrics are computed on the live inference stream, not on synthetic benchmarks

02

Each evaluation receipt is signed and chained per model version and per protected class

03

Public verifier exposes deviations to internal compliance, external auditors, and insurers alike

Pricing

Transparent. Volume-friendly. No surprises.

Designed to land below the SaaS incumbents while preserving on-prem hardware economics.

Base tier
$60,000 / year base
Includes ed25519 keyring, hash-chain ledger, public verifier access, and standard audit export.
Add-ons
Usage + enterprise
$5,000 per model under audit · $0.10 per attested inference at scale
Target client

Who this is built for

Hiring platforms, credit scorers, healthcare triage, insurance underwriters, and any operator of an EU AI Act Annex III high-risk system. Pipeline: NYC LL144 employers and Colorado insurers.

Ready to ship verifiable FairAudit receipts?

Get a FairAudit sample report. We will walk you through the architecture, the verifier flow, and the deployment options for your industry.

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