SCILabel — Healthcare AI Data, Done Right
The only platform that combines ethical data collection, expert clinical annotation, and rigorous AI model evaluation — delivered end to end by certified healthcare professionals.
Data Collection
We source high-quality healthcare datasets from hospitals, clinics, laboratories, and data holders worldwide. Whether you need medical imaging, clinical text, genomic data, or multilingual clinical audio, SCILabel acquires it ethically and makes it AI‑ready.
- Direct Purchase: we purchase qualifying datasets outright under clear licensing terms.
- Revenue Sharing: partners contribute data and earn an ongoing share of revenue each time it is licensed.
- Bespoke Collection: made‑to‑order collection for clients who need a specific dataset by specialty, language, modality, or demographic.
- Curated Marketplace: browse and license de‑identified, ready‑to‑use healthcare datasets on demand.
Data Annotation & Labeling
Our certified workforce annotates medical images (bounding boxes, polygons, segmentation), clinical text (NER, ICD‑10, SNOMED CT, LOINC), genomic data, clinical audio, and more. Every project passes through our multi‑tier QA pipeline before delivery.
- Quality assurance: Tier 1 peer review, Tier 2 QA review, Tier 3 PM spot‑check.
- Quality metrics: inter‑annotator agreement, QA pass rates, and hidden gold‑standard benchmark tasks.
- Specialist tracks: taskers work only within their approved clinical tracks — Medical NLP, Medical Imaging, RLHF, Genomics, or AI Safety.
Data & Model Evaluation
Our clinicians evaluate your AI model's outputs — not just check boxes. We provide RLHF preference scoring, clinical accuracy validation, red‑teaming, bias and fairness assessment, and dataset‑quality audits. Your model gets the human‑in‑the‑loop oversight regulators increasingly require.
- RLHF preference scoring: side‑by‑side model comparison and ranking.
- Clinical accuracy validation: against real‑world practice guidelines.
- Red‑teaming & bias assessment: safety and fairness checks.
- Dataset‑quality audits: ensure your training data is fit for purpose.
How It Works
1
Register & sign NDA
Create your account and sign a confidentiality agreement to protect your data and intellectual property.
2
Submit your project
Tell us about your data needs – type, volume, specialty, timeline, and compliance requirements.
3
Review & approve quote
We provide a detailed quote. Once approved, we begin work immediately.
4
We collect, annotate, or evaluate
Our clinical workforce handles data collection, annotation, or model evaluation according to your specifications.
5
Multi-tier QA validation
Every deliverable passes through peer review, QA specialist validation, and project management audit.
6
Download certified dataset
Receive your QA‑certified dataset or evaluation report, ready for AI development.
Who It's For
Hospitals & Health Systems
Pharmaceutical Companies
Healthtech Startups
Medical Device Manufacturers
Health Insurers & Payers
Government & Ministries of Health
Research Institutions & CROs
Clinical AI Developers
Digital Therapeutics Companies
Telemedicine Platforms
Biotech & Life Sciences
EHR & Health IT Vendors
Pricing Overview
SCILabel pricing is transparent, project‑based, and itemised. Every quote is auto‑generated based on data volume, annotation complexity, specialty track required, turnaround time, and quality tier. No hidden fees.
Starter
Pay‑per‑project for standard engagements. Ideal for one‑off annotation or evaluation tasks.
Growth
Monthly volume commitments at preferred rates. Perfect for ongoing data pipelines.
Enterprise
Custom contracts, SLAs, and dedicated teams. Tailored to large‑scale AI development.
Compliance & Security
HIPAA Aligned
GDPR Compliant
EU AI Act Ready
ISO 27001 Roadmap
AES-256 Encryption
Full Audit Trail
Transform Your Healthcare AI Projects
Book a call with our healthcare AI data experts to explore how SCILabel can accelerate your project, lower risk, and scale across markets.