Trūata AI Ready

Responsible AI starts with better data

Build fair, and transparent AI models by detecting and mitigating bias in training data before it becomes a risk.

Standardize data bias assessments with easy-to-understand risk scoring dashboards for structured and semi-structured datasets.

Measure the presence of bias in input data accurately and quantitatively.

Simplify risk analysis with consistent scoring on datasets of any size.

Mitigate identified bias and proxy bias, or flag datasets that are unsuitable for model training.

Pre-deployment assessments of datasets to be used in training AI models. 

Provides audit-ready reports and documentation for internal and external stakeholders.

Continuous monitoring of data pipeline bias. 

Build trust in AI systems used in customer-facing decisions.