Automated Bias Testing
for data, models, and decisions
AI Fairness Compliance
Fairness testing is manual, reactive, and costly. Fairplay makes it automated, fast, and scalable.
Test data, models and decisions for geographic, economic, and demographic bias.
Automated Fairness Compliance
ECOA/Reg B ready in days.
Identify and correct bias in your data and decisions.
Detect, diagnose, and remediate bias with examiner-ready evidence.
Designed for banks, fintechs, and insurance carriers, that need precisions, speed, and proof.
Bias Testing Dashboards
Statistical testing for bias, performance, and explainability
ECOA/Reg B Documentation
Regulatory-ready reports
Actionable Improvement Intelligence
Actionable improvement steps
Continuous Monitoring
Ongoing bias oversight
Bias Testing Built for Modern Decisioning
Move from reactive, one-off audits to continuous, automated fairness testing, optimization and monitoring that keeps you exam-ready
Test New Models and Strategies
Test and Document new models and strategies before deployment to ensure fairness, accuracy, and regulatory alignment.
Continuous Monitoring
Continuously track production models, for drift and emerging bias. Stay ahead of regulations with always on surveillance that flags compliance issues before they become violations.
Automated Annual Reviews
Eliminate manual, resource-heavy annual fairness reviews. FairPlay automatically re-tests models on schedule, generates regulator-ready reports, and helps you stay compliant year after year.
Any Decision Type
Test all customer-facing decisions for bias
Underwriting
Pricing
Marketing
Fraud Detection
KYC
Vendor Models
Line Assignment
Income Verification
Bias Testing Engine
Automated fairness analysis pipeline
Data Analysis
Representativeness tesing
Data Analysis 2
Representativeness tesing
Data Analysis 3
Representativeness tesing
Data Analysis 4
Representativeness tesing
- Data Analysis
- Proxy Detection
- Outcome Testing
- LDA Testing
How it Works
01. Connect
Securely connect your data, models, and decisions to FairPlay via direct system upload or our RESTful API.
02. Configure
Define which decisions, portfolio segments, and outcomes matter.
03. Analyze
Quantify bias across regions, income bands, and demographic segments.
04. Optimize
Get insights, root causes, and actionable remediation guidance to mitigate bias while maintaining performance.
05. Report
Instantly export regulator-ready documentation with complete audit trails and compliance reports.
Comprehensive Bias Testing
FairPlay's Automated Bias Testing Solutions take fairness compliance out of spreadsheets and consulting decks and into a scalable, automated system of recro
Data Representativeness
Data Representativeness
- Measure whether data inputs and sample populations accurately reflect the markets you serve.
- Identify gaps or imbalances that may introduce bias before models are event trained.
Proxy Detection
- Detect variables that may serve as unintended proxies for protected characteristics.
- Quantify Proxy Strength and evaluate potential compliance risk.
Outcome Testing
- Test decisions (approvals, pricing, fraud flags, line assignments) for disparate outcomes across race, gender, age, and geogrphy.
- Validate fairness at every stage of the customer journey (marketing through loss mitigation)
Business Justifications
- Assess whether observed disparities can be explained by legitimate business factors.
- Provide clear, regulator-aligned rationales for model features and decisions.
Redlining Analysis
- Map decisions geographically to detect digital or geographic redlining.
- Evaluate service reach to low-and-moderate-income and majority-minority communities.
Less Descriminiatory Alternatives (LDAs)
- Test challenger policies and model configurations that reduce disparities while maintaining risk tolerance.
- Deliver actionable guidance to improve fairness without sacrificing performance.
A Better Way to Test for Bias
Join leading financial institutions in deploying better AI faster.