SynthFairAI
Ensuring Fairness in AI: Efficient Bias Detection with High-Quality Synthetic Data
AI Bias Is Costing You More Than You Think
More than 1 in 3 organisations have faced AI bias. 62% lost revenue and 61% lost customers.
We test, audit, and certify AI for fairness — so you don’t become the next headline.
AI regulations bring heightened scrutiny, complexity, and compliance burdens.
You can’t fix what you can’t see. Bias remains hidden, without the right data
Demographic data is often restricted or siloed. Without it, bias stays hidden — and fairness becomes unprovable.
SynthFairAI creates
high-quality synthetic data reflecting real-world populations to test for hidden bias
Minimal Disruption & Model Agnostic
No need to share details of model internals, we just need to understand the deployment use case
Quanify Bias across relevant demographics
Provide bias metrics that are recognized and accepted by regulators
Secure and Limited Data Sharing
Requires only meta-data and non-sensitive model feature information, ensuring data privacy and protection
Comprehensive AI Compliance
Deliver essential documentation and transparency, building trust and ensuring compliance with AI governance standards.
Effective Synthetic Test Sets for Bias
We generate enriched datasets designed to reveal hidden biases by leveraging trusted extrernal data
Reliable Testing
While many synthetic data providers focus on generating realistic data, they fail to preserve the key relationships necessary for fairness testing.
Certify Fairness in Your AI
Don’t wait until bias damages your brand. Let’s ensure your AI is fair
