Only clinicians can label
Expert time is the constraint on every medical dataset.
Imaging, clinical text and diagnostics support
AI Data for Healthcare and Medical Imaging
Clinician-reviewed annotation, handled under the privacy controls medical data requires.
Clinical Data, Handled Clinically
Medical annotation has two non-negotiables: the labels must come from people qualified to give them, and the data must be handled in a way a governance committee would approve. We build programmes around both, with de-identification before any annotator sees a study.
Where Healthcare & Medical AI Programmes Struggle
Clinicians disagree
Inter-reader variability is real and has to be measured, not hidden.
Privacy is regulated
De-identification is a prerequisite, not a step to schedule later.
Findings are imbalanced
Pathology is rare relative to normal studies.
AI Use Cases We Support
Radiology annotation
Segmentation and finding-level labelling on CT, MR and X-ray.
Pathology slides
Region and cell-level annotation on whole-slide images.
Clinical text
Entity extraction and coding from notes and reports.
Ophthalmology and dermatology
Lesion annotation and grading.
Surgical video
Phase and instrument annotation.
Trial data structuring
Standardised extraction from study documentation.
Data Types We Handle
- DICOM imaging Studies handled with series and metadata intact.
- Whole-slide images Gigapixel pathology with tiled annotation.
- Clinical documents Notes and reports entity-tagged and coded.
- Physiological series Waveform and monitoring data annotated for events.
How We Run the Programme
- De-identified before annotation No annotator receives identifiable data. Ever.
- Qualified readers only Tasks are matched to credentials, and credentials are recorded.
- Agreement measured openly Inter-reader variability is reported with the dataset, not buried.
- Adjudication for disagreement A third, senior read resolves conflicts rather than a majority vote.
Build Healthcare & Medical AI on Data You Can Trust
Tell us what you are building and we will come back with a plan, a sample and a price.