Real-World
Healthcare Data. hero

Real-world healthcare data

Real-WorldHealthcare Data.

Train diagnostic, clinical decision-support, and life sciences AI with expert-validated data, governed capture, and audit-ready delivery.

Trusted by teams building
AI Diagnostics
Radiology AI
Computational Pathology
Clinical NLP
Genomics & Life Sciences

One platform. Three data engines.

Contributor Network

Contributor Network

  • Clinical data sourcing
  • Patient-consented capture
  • Multi-site coordination
  • Retrospective curation
  • Synthetic augmentation
Expert Network

Expert Network

  • Radiologists
  • Pathologists
  • Clinical researchers
  • Biostatisticians
  • Regulatory specialists
Evaluation Layer

Evaluation Layer

  • Sensitivity / specificity
  • Edge case coverage
  • Demographic parity
  • Rare condition handling
  • Clinical benchmark alignment

Build for the real world

Medical Imaging

Medical Imaging

CT, MRI, X-ray, Ultrasound

Digital Pathology

Digital Pathology

Whole slide imaging, Cell detection, Tumour grading

Clinical NLP

Clinical NLP

EHR extraction, ICD coding, Discharge summaries

Drug Discovery

Drug Discovery

Molecular screening, Target identification, ADMET prediction

Surgical AI

Surgical AI

Instrument detection, Phase recognition, Skill assessment

Remote Monitoring

Remote Monitoring

Vital signs, Wearable biosensors, Adherence tracking

The Harbor Data Flywheel

From clinical data to production-ready health AI.

A continuous loop that turns governed clinical data into safe, accurate, and auditable healthcare AI systems.

Learn more
Clinical Sourcing
Governed Capture
Expert Validation
Training Data
Clinical Evaluation
Bias Detection
Gap Filling

Data Types

Annotated Medical Images example 1
Annotated Medical Images example 2
Annotated Medical Images example 3

Annotated Medical Images

Radiology and pathology images annotated by qualified clinicians with structured labels, segmentation masks, and diagnostic findings.

  • Radiologist-level annotations
  • Multi-reader consensus
  • DICOM and standard formats
  • Demographic and equipment metadata

Why teams choose Harbor

Governance Built In

Consent management, audit trails, and data provenance are standard — not optional additions.

Clinician-Level Quality

Annotations from qualified radiologists, pathologists, and clinicians — not general-purpose labellers.

Deployment-Ready

Delivery formats and documentation aligned with regulatory and clinical validation requirements.

Example Healthcare Programs

Chest X-Ray Annotation Program

Chest X-Ray Annotation Program

500K+Studies
40+Findings
200+Radiologists
Multi-readerDICOMPathology Labels
Digital Pathology Dataset

Digital Pathology Dataset

100K+WSIs
15+Cancer Types
100%Expert Reviewed
Whole SlideCell DetectionTumour Grading
Clinical NLP Dataset

Clinical NLP Dataset

1M+Documents
80+Entity Types
6Languages
NERICD CodingDe-identified

Better Health AI Starts With Better Data.

Expert clinicians. Governed capture. Healthcare datasets at scale.

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Intelligence layer updates

Operational notes on data programs, expert networks, and managed delivery for frontier AI teams. Experts can apply anytime via Join Expert Network.