Cohort evaluation
Accuracy measured across demographics, not just in aggregate.
Ship clinical AI that clinicians can trust
“Clinical decision support that is 95% accurate is also 5% dangerous — and nobody can tell you which 5%.”
Demographic-sliced accuracy evaluation, PHI-safe synthetic test data, and explainability checks designed for clinician review boards.
How we approach it
Synthetic patients
Privacy-compliant test data covering rare presentations.
Clinical explainability
Outputs scored on whether a clinician can verify the reasoning.
Measured outcomes
PHI-safe
Testing without production data
HIPAA + EU AI Act
High-risk obligations covered
Related use cases