See every model
on your patients,
in real time.
Live insight into every model the system runs.
of health systems using AI lack formal governance, creating a total visibility void across active clinical models.
of clinical models lose significant accuracy within the first 12 months due to undetected drift and data shift.
hospitals fail to validate AI performance on their own patient populations before deployment.
From model data to meaningful insights
Overview
What AI is running, and is it performing?
Enterprise-wide visibility: Integrations from other vendors appear alongside platform-managed tools, offering a comprehensive view of risk.
Performance
Is this model maintaining performance or drifting?
Longitudinal tracking reveals whether sensitivity and specificity remain stable. Baseline comparisons highlight drift. Confusion matrices identify areas of failure.
Compare
Which model should we choose or keep?
Head-to-head comparisons reveal which tool identifies more findings, generates fewer false alarms, and performs consistently across your patients. Metrics like sensitivity, specificity, and PPV are displayed side by side.
One Lens. Every Model. Every Patient