Built around your team
Who RAIA is for.
For model owners, risk teams and reviewers who need to understand AI behavior and inspect evidence behind readiness decisions.
RAIA
Review the models behind your AI with performance oversight, explainability and readiness assessments. Make the evidence visible before deciding what comes next.
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Inspect feature contribution evidence in the real Explainability Studio.
Explore the capabilities
RAIA makes model assessment reviewable: an asset registry, performance oversight, bias and explainability analysis, and a readiness evaluation. The tour uses an existing demonstration assessment, including its actual “Not Ready” result.
Use the asset registry to locate models and datasets and establish the object of an assessment.
Inspect evaluation metrics and model behavior through Performance Oversight. Interpret results in the context of the data and task being evaluated.
Use Explainability Studio to inspect feature contributions and understand which inputs influence a model’s output.
Review assurance evidence across performance, fairness and readiness dimensions. Investigate assessment gaps instead of treating a single score as a guarantee.
Built around your team
For model owners, risk teams and reviewers who need to understand AI behavior and inspect evidence behind readiness decisions.
A practical place to start
Select an AI asset, inspect its evaluation and explanation views, and review gaps in its readiness assessment before taking action.
See the five step processYour first digital employee starts with a job to be done
Bring us the workflow, capacity gap, risk, or business outcome you need to address. DEOS will help define the role and accountability structure.