Clinical-grade data, compliance-first operations.
Medical annotation and clinical NLP data built by licensed healthcare professionals. HIPAA-ready operations, specialist recruitment, and the compliance posture your IRB will actually sign off on.
Where patient data meets real rigor.
Healthcare AI is different. Your data is regulated, sensitive, and irreplaceable. Your annotators need credentials, not just training. Your compliance posture needs to survive an audit — not just a sales pitch.
We built our healthcare practice around credentialed clinicians — verified MDs, RNs, radiologists, and specialists — operating inside HIPAA-compliant clean rooms with role-based access, audit trails, and BAA-ready contracts. This is the practice your IRB will actually approve.
What we bring to the table.
Clinical NLP data
Structured extraction, de-identification, and annotation of clinical notes, radiology reports, and pathology documents. By licensed clinicians, reviewed by senior specialists.
Medical NER
Named-entity recognition for conditions, medications, procedures, anatomy.
Clinical relation extraction
Disease-treatment, drug-interaction, symptom-condition linking.
Note summarization
Discharge summaries, progress notes, problem-list generation training data.
De-identification
HIPAA Safe Harbor PHI removal with clinician-validated accuracy.
Medical imaging annotation
Radiology, pathology, and dermatology image annotation by credentialed specialists. Pixel-level segmentation, lesion identification, and multi-reader adjudication for ground truth.
Radiology segmentation
CT, MRI, X-ray annotation by board-certified radiologists.
Pathology slides
Whole-slide image annotation by pathologists with subspecialty training.
Dermatology
Lesion boundary, malignancy assessment, Fitzpatrick-skin-type labeling.
Multi-reader adjudication
Consensus ground truth from 3+ specialists for high-stakes datasets.
Patient-facing conversational AI
Training and evaluation data for healthcare conversational AI — patient intake, medication adherence, triage, and care navigation. Authored by clinicians, reviewed for safety.
Triage dialogues
Symptom-to-disposition training conversations reviewed by ED physicians.
Medication counseling
Pharmacist-authored dialogues on adherence, interactions, side effects.
Patient education
Clinician-written explanations calibrated for patient health-literacy levels.
Safety red-teaming
Harm probes — self-diagnosis, medication misuse, emergency miss-routing.
Regulatory & compliance data
Audit trails, consent management, and documentation that satisfies HIPAA, GDPR, FDA, and IRB requirements. Built with compliance teams, not around them.
BAA-ready contracts
HIPAA Business Associate Agreements on every engagement.
Consent management
Patient-level consent tracking with revocation support.
FDA submission data
Annotation protocols and audit trails documented for 510(k) submissions.
De-identification audit
Expert-determination certification available for Safe Harbor alternatives.
Where healthcare teams use us.
Clinical documentation
Training data for ambient scribing, note generation, and EHR assistance tools.
Medical imaging AI
Segmentation and classification for radiology, pathology, derm AI systems.
Drug discovery
Literature annotation, biomedical NER, and clinical trial data curation.
Patient engagement
Safe, compliant conversational AI for triage, education, adherence.
Clinical trials
EMR extraction, eligibility screening, and protocol-adherence annotation.
Payer / revenue
Coding annotation, prior-auth, and claims-adjudication training data.
Common questions.
Are your annotators actually licensed?
Yes — every clinician annotator has verified licensure (MD, DO, RN, pharmacist, etc.) with specialty certification where required. Verification is re-run annually.
Can you sign a BAA?
Yes. We sign a HIPAA Business Associate Agreement on every healthcare engagement. Template available on request.
How do you handle PHI?
PHI is handled in dedicated clean-room environments with role-based access, region-locked storage, and audit logging. De-identification can happen before annotation if preferred.
Do you support FDA submissions?
Yes. We've contributed annotation protocols, validation data, and audit trails to 510(k) and De Novo submissions. Documentation is designed to survive FDA review.
What's the typical specialist ramp time?
2–3 weeks to recruit and onboard a specialist panel (e.g., 20 board-certified radiologists). Subspecialties (interventional neuroradiology, dermatopathology) can take 4–6 weeks.
Let's make your AI better together.
Tell us what you're training, aligning, or evaluating. We'll map a delivery plan, staffing model, and timeline within one working week.