We find it. We fix it. And we help you teach your teams. 

Data review and analysis

We help you identify your data needs by using custom bias metrics to assess the quality of your raw
and synthetic data. Our detailed reports highlight issues with representation and fairness, flagging potential concerns and offering mitigation strategies.

Improving your data
Our bespoke algorithms and technical expertise work to correct bias in both pre-processed data and during machine learning. We ensure that your data is well-balanced and ready for fair and responsible AI use.

Trainings & Workshops

We offer tailored guidance on aligning your AI systems, including how to integrate human-in-the-loop processes, enhance transparency, and address bias concerns. We also provide recommendations on future data collection and synthesis for improved fairness and generalization. We deliver tailored workshops that help your teams succeed in these critical areas:

• Fairness and bias, combining social science and ML insights
• Detecting bias in synthetic data
• Building a diverse, inclusive team
• Managing uncertain, qualitative data