Physician-supervised · 48-hour pilots · No minimums

Clinical-grade data for medical AI — reviewed by physicians, not crowds.

ATLAS Clinical Data provides annotation, evaluation, and red-teaming for healthcare AI teams. Every batch is reviewed by a physician before it reaches you.

Send us up to 200 items. We return them labeled or evaluated in 48 hours, free. Judge the quality yourself.

Built for health-AI teams

Clinical reviewMD-signed batches
Pilot turnaround48 hours
Project minimumNone
Data handlingDe-identified, NDA-backed
TeamPhysician-led, globally staffed
What We Do

Services

The clinical judgment layer your AI pipeline is missing — delivered at boutique speed.

01

Clinical LLM Evaluation

Physicians grade your model's medical answers for accuracy, safety, and completeness against structured rubrics — with clinician rationale on every rating.

02

Medical Text Annotation

Entity labeling and classification on clinical notes, symptoms, medications, and diagnoses — clinician-annotated, MD-audited.

03

Medical AI Red-Teaming

Our clinicians systematically probe your health chatbot or copilot for unsafe, incorrect, or non-compliant outputs — documented and reproducible.

04

Dataset QA & Audit

Independent clinical review of your existing labeled datasets: error rates, systematic bias, and correction — before your model learns the mistakes.

05

Medical Content & Transcription

Structuring medical documents and audio into clean training data, with clinical terminology handled correctly.

06

Custom Clinical Data Work

If it requires medical judgment at scale, we can staff it. Tell us the task — we'll pilot it in 48 hours.

Why Teams Choose Us

Expert-level quality without enterprise-vendor friction

Big annotation vendors bring minimums, months-long onboarding, and anonymous crowds. We bring physicians, speed, and accountability.

An MD signs every batch

Our founder is a physician. Deliverables are spot-audited and signed off clinically — not sampled by a crowd algorithm.

Startup-sized by design

No minimums, no procurement maze. Pilot in 48 hours, scale week by week as your needs grow.

Clinician workforce, global cost

A physician-led team delivering expert evaluation at rates enterprise vendors can't match.

How It Works

From first call to labeled data in days

A process built for ML teams that needed the data yesterday.

1

Scope (day 0)

30-minute call. We agree on the task, rubric, and format.

2

Free pilot (48 hrs)

Up to 200 items labeled/evaluated at no cost. You inspect everything.

3

Production

Agreed volume, per-item or hourly pricing, weekly deliveries with QA reports.

4

MD sign-off

Every batch ships with a physician audit summary and error log.

K

Founder-led, physician-led

MD · MBA (Healthcare Management)
Minneapolis, USA

About

Why we built this

ATLAS Clinical Data was founded by a physician who saw the gap firsthand: medical AI is being trained and evaluated by people who have never taken a patient history — and the errors show.

We pair US-based clinical leadership with a carefully trained global team of clinicians and engineers. The result is expert-level medical data work at speeds and prices that make rigorous evaluation possible for teams of any size.

We work with de-identified data under NDA, and we're honest about scope: if a task needs capabilities we don't have, we'll tell you on the first call.

Put us to the test — free

Send up to 200 items. We'll return them labeled or evaluated within 48 hours, with a physician's audit note. No cost, no commitment.

We respond within one business day.