Build AI that'sfair for everyone
Identify and fix bias before launch. Diverse evaluators test your AI for fairness across demographics and use cases.
Why teams choose FlexDuty for bias testing
AI bias can cause real harm. We help you find and fix it with diverse perspectives.
Diverse evaluators
Test with participants from varied demographics, cultures, and backgrounds to uncover hidden biases.
Fairness metrics
Evaluate model outputs across protected attributes. Ensure equitable performance for all users.
Bias detection
Identify algorithmic bias, stereotyping, and discriminatory patterns in your AI outputs.
Expert analysis
Domain experts in ethics and fairness review model behavior for subtle issues.
Demographic analysis
Measure performance differences across user groups. Fix disparities before launch.
Compliance ready
Meet regulatory requirements for AI fairness. Document bias testing for audits.
How it works
From fairness criteria to equitable AI—systematic bias detection
Define fairness criteria
Tell us what attributes matter—gender, race, age, geography. We'll design tests that measure equitable performance.
Source diverse testers
We recruit evaluators from varied backgrounds who can identify bias patterns and unfair outputs.
Test and measure
Evaluators test your model systematically, flagging biased outputs and measuring fairness metrics.
Build fair AI
Use insights to debias your model. Ship AI that treats all users equitably.
Build fair, equitable AI
Stop bias before it causes harm. Test your AI with diverse evaluators today.
Start your project