Define
Intended use, cohort, taxonomy, rights and acceptance criteria.
Healthcare AI data, engineered in the UK
Rise Health designs, sources and delivers high-quality pre-training and post-training data for healthcare AI teams—from multimodal clinical corpora to expert-led evaluation.
Clinical textStructured + free text
READYMedical imagingDICOM + pathology
READYPhysiological signalsECG + time series
READYOne accountable partner across the medical AI data lifecycle
Full-lifecycle data programmes
Healthcare models require more than generic annotation. We combine modality expertise, clinically qualified review and disciplined delivery operations to create data that performs under real-world conditions.
Representative multimodal corpora, responsibly sourced, curated and structured for healthcare foundation models.
Explore pre-training →Expert SFT, preference data, red teaming and evaluation for useful, evidence-aware and safer model behaviour.
Explore post-training →Built around healthcare
Our programmes reflect how care is actually delivered: longitudinal, multimodal, specialty-specific and governed by clear safety boundaries.
Explore healthcare expertise →A controlled path to scale
Each programme moves through explicit gates, with evidence that is understandable to engineering, clinical safety and procurement teams.
Intended use, cohort, taxonomy, rights and acceptance criteria.
Representative pilot, calibration and measured agreement.
Managed production, quality monitoring and change control.
Batch evidence, error analysis and signed acceptance.
Start with the specification
Share your modalities, target population, quality thresholds and delivery window. Our team will return a structured programme approach.
Talk to our bid team →