Services / Medical Data Annotation & Ground Truth

Medical data labelled by clinicians, built on rigorous data science.

We help healthcare AI companies create and assess medical datasets, combining appropriately qualified clinicians with PhD-led data science.

From medical imaging to clinical records, we deliver structured annotation and expert review tailored to your data.

EXAMPLE REVIEW DESIGNConfigured per project

Clinical case

REVIEWER A

Independent read

REVIEWER B

Independent read

Do they agree?

YES

Reference label

Senior adjudication

YOUR QUESTIONS, OUR DELIVERABLES

What we can deliver.

How can we find the right specialists to annotate our data?
How reliable are our existing clinical labels?
Do we need multiple independent reviewers?
How should disagreements between clinicians be handled?
Can we create a consistent reference dataset?
How can we obtain high-quality medical data without managing a large reviewer team ourselves?

Medical image annotation

Specialist review and annotation of imaging data, including radiology and ophthalmology.

Clinical text annotation

Structured review and labelling of medical notes, clinical reports and other healthcare text.

Specialist medical grading

Clinical assessment and scoring by reviewers with relevant specialty experience.

Independent clinical review

Multiple clinical assessments where appropriate to the project.

Reference dataset development

Development of clinically reviewed datasets for AI development and evaluation.

Annotation quality assurance

Quality checks, consistency reviews and examination of disagreements.

Radiology AI Ophthalmology AI Diagnostic imaging Clinical NLP Medical device AI Clinical research datasets Other specialist medical data

Tell us about your data, the clinical task and the output you need.

Tell us what you're developing and we'll reply the same day.