Highly qualified physicians across various fields — matched to your clinical domain, working blind, reviewed by a senior MD before delivery.
Better Data. Better AI. Better Patient Outcomes.
Our physicians rate AI-generated medical responses across four dimensions — clinical accuracy, patient safety, completeness, and clinical reasoning — with a written explanation for every rating below 3 of 5. The output is a structured signal your team can act on, not a binary thumbs.
Two responses to the same clinical question, evaluated side-by-side. Physicians pick the safer answer and write clinical reasoning. This RLHF dataset is a direct training signal that nudges your model toward clinically defensible outputs.
Physicians deliberately probe your model for the failures that hurt patients — missed contraindications, dosage errors, drug interactions, edge-case populations. Each failure is documented with the clinically correct alternative.
For medical scribes and documentation tools — physicians review AI-generated clinical notes, discharge summaries, and referral letters for accuracy and completeness against the source encounter.