Generate bias-aware synthetic datasets for AI fairness testing with built-in compliance reporting. Reduce legal risk while accelerating AI deployment.
Quantifiable bias reduction
with compliance-ready documentation
Companies are facing million-dollar lawsuits and regulatory scrutiny due to biased AI systems, yet most lack the tools to properly test and validate fairness.
Average cost of bias-related AI lawsuits in hiring, lending, and healthcare
EU AI Act, NYC Local Law 144, and US federal AI accountability measures
Most companies lack proper tools to test AI systems for bias before deployment
Our platform generates synthetic datasets specifically designed for AI fairness testing, with built-in bias detection and compliance reporting.
Upload your dataset securely. We support CSV, Excel, and API integrations.
Set protected attributes, bias parameters, and generation preferences.
Our AI generates statistically equivalent synthetic data with reduced bias.
Get compliance-ready reports with quantified bias improvements.
HIPAA-compliant synthetic patient data for testing diagnostic AI without privacy concerns.
Fair lending compliance with synthetic data for credit scoring and fraud detection models.
Test hiring algorithms for bias with diverse synthetic candidate profiles.
Average improvement in fairness metrics
Statistical similarity preserved
For 100K row datasets
Join the waitlist to get early access to FauxData and be among the first to test AI systems for bias with synthetic data.
🚀 Launching Q3 2025 • 🔒 SOC 2 Compliant • 💡 Early Access Now