FairAudit | The Vanta for Responsible AI

The Regulatory Tidal Wave is Here

The window for "move fast and break things" is closing. The era of responsible AI governance has begun.

€35M

Massive Fines

Under the EU AI Act, fines can reach up to €35 million or 7% of global turnover for prohibited practices.

35%

Market Readiness

Only 35% of companies have AI governance frameworks today, despite 87% planning to implement them by 2025.

Aug 2026

The Deadline

Enforcement for high-risk AI systems begins. Is your compliance roadmap ready for the countdown?

More Than Just a Checklist

We're building the infrastructure for AI trust. Like Vanta did for SOC 2, we automate the manual grind of fairness audits, giving you a platform that scales with your models.

Automated Evidence Collection: Stop chasing screenshots. We hook directly into your ML pipelines.
Multi-Framework Support: Map controls once to satisfy NYC LL144, EU AI Act, and emerging standards (NIST, ISO).
Continuous Monitoring: Fairness isn't a one-time stamp. Watch for drift and bias in real-time.


const auditResult = await fairAudit.scan({
  modelId: "hiring-v2",
  frameworks: ["NYC-LL144", "EU-AI-Act"]
});

if (auditResult.passed) {
  console.log("Compliance Certified ✅");
}

The Fairness Audit Playbook

Our rigorous methodology separates signal from noise. We don't just audit; we define the standard.

01

Historical Context Assessment

Understand the legacy data biases before a single line of code is judged.

02

Fairness Definition Selection

Context-aware selection of metrics. Because "fairness" means something different in credit vs. healthcare.

03

Bias Source Identification

Pinpoint exactly where bias creeps in—from data collection to model deployment.

04

Rigorous Metrics & Reporting

Generate audit-ready reports that satisfy regulators and board members alike.

Don't Wait for the Fine.

Join the 35% of forward-thinking leaders building Responsible AI today.

Limited spots available for our Beta Program.