AI Fairness Auditing for the Regulatory Era
Regulators are no longer waiting. From the EU AI Act and EEOC guidance to NYC Local Law 144 and California AB 2930, organizations face mounting obligations to detect and document bias in their AI systems. FairCircle gives you the metrics, evidence, and reports to meet those obligations — before an audit does.
Designed for data teams, compliance officers, and legal counsel
Capabilities
Built for rigorous, defensible analysis
FairCircle moves beyond surface-level summaries. Every metric is grounded in established statistical methods and traceable to the regulatory standards that govern your industry.
- Regulatory-Grade Fairness Metrics
- Compute Disparate Impact ratios, Demographic Parity gaps, Equal Opportunity metrics, Kolmogorov–Smirnov distributional tests, and Maximal Correlation scores — aligned with EEOC Four-Fifths Rule, EU AI Act, and NYC Local Law 144 audit standards.
- Audit-Ready Documentation
- Generate structured PDF, DOCX, PPTX, and Excel reports formatted for legal review, regulatory submissions, and executive briefings — ready for EEOC inquiries, EU AI Act audits, and board-level disclosure.
- Statistical Insight & Visualization
- Understand disparity at a glance through distribution charts, group comparison plots, KS-test significance flags, Maximal Correlation scores, and Z-score heatmaps. Complex statistical findings translated into clear, stakeholder-ready visual narratives.
- Secure & Confidential Processing
- Your data never leaves a controlled pipeline. We apply enterprise-grade encryption, strict access controls, and automatic post-analysis data deletion to protect sensitive employee and customer records.
Workflow
From raw data to defensible findings in minutes
No data engineering. No bespoke scripts. FairCircle takes your dataset and delivers a complete, structured fairness assessment your legal and compliance teams can act on immediately.
Upload Your Dataset
Securely submit your CSV or Excel file. FairCircle automatically detects column types, flags missing data, and validates structure — no manual preparation required.
Define the Audit Scope
Select your target variable (e.g., hiring decision, loan approval) and the protected attributes to examine — such as race, sex, age, or national origin.
Receive Your Report
Within minutes, receive a comprehensive fairness report with metric summaries, group-level statistics, regulatory benchmarks, and AI-generated narrative insights.
Solutions
One platform, every stakeholder
Data Scientists & Analysts
Embed bias detection into your model validation workflow. Catch disparate impact before a model reaches production — not after a regulatory complaint.
Compliance & Legal Teams
Produce the structured documentation required under the EU AI Act, Title VII, NYC Local Law 144, and state-level algorithmic accountability statutes. Evidence-ready, every time.
HR & People Analytics Leaders
Audit hiring, promotion, and compensation algorithms against the EEOC Four-Fifths Rule and the EU Pay Transparency Directive before annual review cycles or workforce changes.
Pricing
Pricing that scales with your organization
Whether you're running a single compliance audit or embedding fairness testing across an enterprise model portfolio, we offer flexible plans sized to your needs. Speak with our team to find the right fit.
No commitment required. We respond within one business day.
Don't wait for a regulator to find the problem.
Let's find it first.
The cost of a bias audit is a fraction of the cost of enforcement action, litigation, or reputational damage. Talk to our team about how FairCircle fits into your AI governance program.