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
01
Cohort evaluation
Accuracy measured across demographics, not just in aggregate.
02
Synthetic patients
Privacy-compliant test data covering rare presentations.
03
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