Model governancein 3 simple steps
With a model card as the source of truth, you can easily align across stakeholders on model details, considerations, parameters, performance explainability and fairness results.
Gather inputs and align stakeholders across product, data science and compliance
Source of truth for model details, performance, explainability and fairness analysis
Reports and Checks
Automated documentation of model and alerts from performance / fairness checks.
Simple yet comprehensive
Integrate your favourite data science models with 5 types of tests covering more than 20 different types of fairness requirements.
Improve model reliability
Have the confidence and peace of mind that models being deployed meets prescribed performance and fairness criteria.
Satisfies compliance requirements
Aligns with both the spirit and requirements of Singapore's MAS fairness assessment methodology.
From Development to Production
Write data science code as tests and produce model reports for documentation, accountability and reporting purposes