Tools and expertise for generating and documenting synthetic data

Fair AI Data Analyzer

Detect bias and imbalance across chosen attributes
Intersectional analysis: Identify complex combinations where representation is lacking
Export easy-to-read summaries
Documentation: create README files

README Creator

Metadata guidance for synthetic data deposits in repositories
Compliance-ready output that meets ethical AI requirements
Transparent tracking of generation methods and data provenance
Following industry standards and best practices

Expert services

Strategic consulting on AI fairness
Data audits: assessing the quality of the raw and the synthetic data by custom metrics. Our reports flag potential concerns and mitigation strategies.

Workshops & trainings

Workshops and trainings tailored to your needs - on DEI, AI, bias and synthetic data
To register for open webinars, click here