Expert Data Services

Building safer, more reliable clinical AI

We work with US-licensed clinicians to surface model failures, define clinical ground truth, and make models safer in practice.

Experts from leading medical institutions and research centers.

Cleveland Clinic
Mayo Clinic
Columbia
UCSF
Harvard Medical School
Johns Hopkins Medicine
Stanford Health Care
Penn Medicine
Cleveland Clinic
Mayo Clinic
Columbia
UCSF
Harvard Medical School
Johns Hopkins Medicine
Stanford Health Care
Penn Medicine
Cleveland Clinic
Mayo Clinic
Columbia
UCSF
Harvard Medical School
Johns Hopkins Medicine
Stanford Health Care
Penn Medicine

Deep expertise

Medical AI training from experienced clinicians at scale

Access physicians with deep, verified expertise in advanced AI data annotation and rubric creation.

Credentials and training

Education, residency, fellowship, board certification, and active licensure verified through primary sources and ongoing checks.

Scientific and academic impact

Publications, peer-review activity, involvement in guidelines, and academic appointments, where applicable.

Quality control and performance

IRR score, data acceptance rate, and other indicators linked to expert profiles are used to upskill, retrain, and offboard experts as needed.

Identity and compliance

Continuous identity validation, NPI and license monitoring, and compliance checks to ensure experts are genuine, active, and accountable.

High quality

End-to-end data annotation and recruitment-as-a-service

Partner with board-certified physicians to design, evaluate, and govern models aligned with evidence-based standards of care.

Expert-authored SFT datasets

Clinician-authored prompt–response pairs that teach models correct clinical reasoning, tone, and decision-making, grounded in real practice.

Clinical ground truth and gold-standard datasets

Datasets built from real clinical workflows. Physicians surface failure modes, define correctness, and encode rubrics for model evaluation and alignment.

Benchmarking and evaluation

Structured expert scoring to assess model performance. Translates clinical judgment into consistent, defensible signals across model versions and tasks.

Expert recruitment and dedicated teams

Vetted, US-licensed clinicians for project-based or ongoing work. Curated teams aligned to specific clinical domains and evaluation needs.

1M+ healthcare profiles
50,000+ in-network

Clinical coverage

Clinical Coverage & Ramp Capacity

US-based, board-certified clinicians available to support AI training and evaluation pipelines

Primary & General Care

  • Primary Care
  • Internal Medicine
  • Family Medicine
  • Hospital Medicine
  • Pediatrics

Cancer & Blood Disorders

  • Medical Oncology
  • Oncology Sub-specialties
  • Radiation Oncology
  • Surgical Oncology

Brain & Behavioral Health

  • Neurology
  • Psychiatry
  • Neurosurgery

Heart, Lung & Critical Care

  • Cardiology
  • Interventional Cardiology
  • Pulmonology
  • Respiratory Medicine
  • Critical Care / ICU

Imaging & Diagnostics

  • Radiology (DR & IR)
  • Pathology

Women's Health

  • Obstetrics & Gynecology
  • Maternal-Fetal Medicine

Emergency & Acute Care

  • Emergency Medicine
  • Acute Care
  • Urgent Care

Surgery & Procedural Care

  • General Surgery
  • Orthopedic Surgery
  • Urology
  • Ophthalmology
  • Anesthesiology
  • Dermatology
  • ENT (Otolaryngology)
  • Plastic Surgery

Internal Medicine Subspecialties

  • Endocrinology
  • Gastroenterology
  • Nephrology
  • Rheumatology
  • Infectious Disease

Contact us

Get in touch

Have questions about our expert data services? Reach out to learn how we can help with your project.