Evident Labs for AI
Clinically validated intelligence for medical AI.
Most medical AI fails because of data, not models. Evident Labs delivers evaluation and training data from verified, credentialed clinicians — stratified by specialty, subspecialty, and demonstrated expertise.
What you get.
Three things that are hard to buy anywhere else.
Verified provenance
Every judgment is tied to a verified clinician: credential, specialty, board status, and experience. You know whose expertise is in your data.
Independent judgments
Clinicians commit their assessment before seeing consensus. You get clean signal — agreement, disagreement, confidence, and reasoning.
Expert stratification
Generalist consensus, specialist consensus, and expert adjudication, layered. You buy supervision quality, not labor hours.
How the data is produced.
The same activity a clinician completes for CME produces the structured judgment you need.
01
Verified clinicians
Credential and specialty confirmed before any activity.
02
Independent answer
Committed before the clinician sees any peer response.
03
Structured capture
Rating, reasoning, what's missing, and confidence.
04
Layered review
Specialist and subspecialist judgment where it matters.
Where medicine disagrees, we tell you.
Forcing consensus where none exists produces confident, wrong models. Evident Labs captures genuine clinical disagreement as a first-class signal, not noise to be averaged away.
Illustrative results.
What teams use it for.
- Model evaluation
- RLHF and preference data
- Benchmark development
- Safety review
- Specialty fine-tuning
- Clinical agent testing
Now enrolling design partners.
We're building our first stratified evaluation datasets in musculoskeletal medicine with a founding network of orthopedic surgeons. If clinical quality is your bottleneck, let's design the pilot around your model.
Or email us directly. hello@evidentlabs.ai