Clinical judgment, verified at source.
Medical evaluation and training data from licensed clinicians whose identity, employer, role, and seniority are verified at source — the standard hospitals call primary source verification.
THE STANDARD YOU ALREADY KNOW
Credentialing, applied to AI data.
No hospital lets a clinician near a patient on a resume alone. Credentialing runs on primary source verification — identity, license, training, and history, confirmed against the issuing source. We hold the people training medical AI to a standard you already trust: every expert's identity, employer, role, and seniority verified at source, against systems of record, before they touch your data.
THE EXPERTS
Licensed clinicians, verified seniority.
Physicians — across specialties, matched to your evaluation domains. Clinical seniority is a verified property, not a claimed one.
Radiologists — for multimodal evaluation: imaging-grounded grading and demonstrations.
Nurses — registered, with ward, clinic, and field experience. The gap between textbook and bedside is where models fail.
Mental-health clinicians — for safety evaluation, crisis presentations, and escalation judgment.
Active licensure is required for clinical work; identity, employer, role, and seniority are verified at source.
THE WORK
What clinical experts do here.
Write and grade against clinical rubrics — the fine-grained criteria that turn 'sounds right' into a score.
Red-team clinical safety: crisis presentations, escalation judgment, and the confident answer that would hurt someone.
Author diagnosis and triage demonstrations with the reasoning written out.
Evaluate clinical documentation — notes, summaries, patient-facing writing — against what a chart actually requires.
Grade coding and payer reasoning — the administrative layer where models still fail quietly.
Grade imaging-grounded outputs — reads, impressions, report drafts — with radiologists who sign them for a living.
WHY IT MATTERS
The scarce input is calibrated judgment.
Models now pass the average clinician on public health benchmarks. What remains scarce is calibrated senior judgment — the rubric writer, the adversarial case, the specialist who knows what models still get wrong. That is why seniority is one of the four properties we verify at source: 'reviewed by an experienced clinician' is a fact on the record, not a vendor's adjective.