The clinical conscience
for healthcare AI.

Frontiermed is a private network of highly qualified physicians who evaluate the medical outputs of frontier AI — the responses, ratings, scribe notes and safety calls that real patients will eventually meet.

Better Data. Better AI. Better Patient Outcomes.

Talk to an expertRead the methodology
01The Gap

Generalist annotators cannot catch what a doctor can.

Crowd labelers rate fluent, confident answers as safe. A warfarin patient asking about ibuprofen gets a green check. A 78-year-old with confusion and fever gets routed to a GP visit next week. The model looks good in eval. The harm shows up in production.

  • Annotation — generalists misclassify lesions, miss subtle radiological findings, and under-label brown and South Asian skin tones.
  • Evaluation — model outputs are scored against rubrics no clinician wrote, with no adversarial safety probing by the relevant specialist.
  • Reasoning — training data is scraped from the web instead of authored by physicians who know how to construct a differential diagnosis.
02The Standard

Triple-blind consensus on every label, every time.

Three highly qualified physicians review each task independently. They never see one another's answers. A senior MD adjudicates every disagreement. Nothing ships unchecked, and the audit trail is built for regulators — not bolted on after.

03The Network

Thousands of US-trained physicians, underused.

Each year, thousands of internationally trained physicians complete rigorous medical education but find few outlets for their clinical expertise. They hold the training, the drug knowledge and the standard of care. frontiermed gives that talent a clinical surface for the AI shaping the next decade of care.

04The Outcome

Clinical evidence regulators and buyers will actually accept.

Every project ships with auditable inter-annotator agreement, a written clinical analysis of your model's failure modes, and a delivery file your safety team can submit as evidence. FDA, EU AI Act and procurement teams are all converging on the same bar — physician-validated review.

Three families

From raw data, through training, to verified safe.

Every service in detail
  • 01

    Annotation

    Specialist labeling of images, signals and clinical text — classification, segmentation and ground-truth reads.

  • 02

    Evaluation & Alignment

    Judging, ranking and stress-testing model output — recurring by nature, re-run every model version.

  • 03

    Clinical Reasoning & SFT Data

    Authored reasoning, communication and localized clinical content — the highest-value teaching data the network produces.

Next step

Send us your most ambiguous AI medical outputs. We'll send back the consensus, the disagreements, and the clinical reasoning behind both. Start the pilot →

Qualified doctor and want to review frontier medical AI?

Join the physician network