Analyse datasets from your AI processes to identify fairness issues, demographic disparities, and hidden biases—ensuring your models serve everyone equally.
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Our toolkit analyses every aspect of your AI pipeline to surface hidden biases and fairness concerns.
Automatically scan your datasets for statistical disparities across protected attributes like gender, race, and age.
As we are open-source. All analysis can happen in your environment. Your sensitive data never leaves your infrastructure.
Integrate our open-source toolkit bias checks directly into your deployment pipeline to catch issues before they reach production.
Four simple steps to uncover and address bias in your AI systems
Upload your dataset or connect to your existing data warehouse. We currently support CSV datasets.
Our engine identifies protected attributes and then applies statistical fairness metrics, disparity tests, and demographic parity checks across your dataset.
Review detailed reports with bias scores, visualisations, and specific recommendations to improve your model's fairness.
Start detecting and fixing bias in your AI models today. Use out online toolkit to analyse a dataset today.