Know where AI is safe to scale.
We measure disagreement between AI drafts and final radiologist reads case by case and over time so you can trust what holds up in practice.
Compare, score, and decide what you can trust and what you can scale.
A continuous loop between AI draft and the final radiologist read — field-level, every case, every modality.
Compare.
See exactly where AI diverges from the final read.
Field-level comparison of AI drafts versus radiologist reports across every case.
Score.
Track trust over time.
Measure disagreement, edit friction, and drift across models, modalities, and radiologists.
Decide.
Know what you can safely delegate.
Identify where AI holds up, where it needs supervision, and where it breaks.
For teams deploying
AI in radiology.
We do not evaluate models. We monitor how they behave in your practice.
Run a real world validation in weeks.
We analyze your AI draft versus final reports with no workflow changes and minimal setup. You get a clear view of where performance holds up and where it breaks.
Dr. Ty Vachon
CEO, Veriloop
Practicing radiologist · 20+ yrs clinical
Talk to a radiologist at Veriloop. Ask the hard questions. Where agreement breaks, how drift shows up, and what actually counts as a miss.