Backed ByTechstars

Maximize Radiology AI Value with Continuous Monitoring

Use AI-performance data to run governance in one place and guide AI-use live at the reading station

Croviz AI Monitoring Platform

Trusted by
leading institutions

Harvard Medical School
Columbia University Irving Medical Center
Columbia University
NVIDIA Inception Program
Siemens Healthineers
IBM Health
Harvard Medical School
Columbia University Irving Medical Center
Columbia University
NVIDIA Inception Program
Siemens Healthineers
IBM Health
PROBLEM

The Challenge:

Imaging AI adoption has hit a point of critical mass - but value realization is stalling because leaders don't know how to evaluate AI, and radiologists don't know when to trust it.

Radiologist reviewing medical imaging
70%

of leaders lack local AI performance data for vendor renewals or pilot evaluations

1-3 years

for a radiologist to trust an AI tool , slowing productivity gains and impacting retention

77%

of radiologists have seen AI performance drift and worry it may hurt their accuracy

2 in 3

radiologists cite AI bias as a malpractice risk on their report findings

MEET CROVIZ

Croviz is the speedometer, manual, & brakes for your AI vehicle

One dashboard to govern and monitor all AI, from pilots to current deployments and renewals

Live case-level signals on local AI performance to adjudicate outputs faster & more accurately

Protect physicians from hidden AI-bias & drift risk with multichannel alerts

Detailed AI vendor performance at task and subgroup levels automatically extracted from your reports

Croviz

Ready to Transform Your Radiology AI Portfolio?

Schedule a demo and we will reach out ASAP!