We turn permissioned hospital imaging and clinical context into structured, de-identified datasets for AI development and validation.
A buyer needs more than images. Each cohort is defined by clinical purpose, technical completeness, privacy controls, ground truth and a documented commercial scope.
Brain MRI is the first active inventory. Liver MRI/MRE and non-contrast CT are specification-led sourcing programmes, not claims of ready-to-license inventory.
A multi-vendor corpus being verified for model development and validation.
Open programme brief ↗3D T1 · T2 · FLAIR · DWI / ADC · selected perfusion
1.5T and 3T · multi-vendor
Source DICOM · derived NIfTI · metadata · QC
Reports, diagnosis and task-specific annotations where verified
A specification for quantitative liver cohorts across disease, scanner and population distributions.
Open programme brief ↗MRE · T1-weighted · T2-weighted · diffusion
MASH / MASLD · HBV · HCV · cirrhosis · AIH · PSC
Defined disease labels · demographics · multi-scanner coverage
Pilot to hundreds of studies, subject to verified inventory
Hospital CT cohorts scoped around product claims, scanner coverage and validation design.
Open programme brief ↗Cardiovascular · lung · bone · body composition
Scanner model · reconstruction · slice thickness · protocol
Reports · quantitative measurements · clinical outcomes
Site, scanner and demographic holdout design
Deliverables are negotiated against the model task. No label, segmentation or clinical field is represented as available until verified.
Study and series-level DICOM organized without losing clinically relevant acquisition context.
NIfTI volumes, normalized orientation, series mapping, thumbnails and machine-readable metadata.
Radiology reports, disease labels, measurements, segmentations or outcomes when included in scope.
Completeness checks, exclusions, acquisition distributions, annotation review and a dataset card.
Hospital authorization, permitted-use terms, de-identification documentation and supplier records.
This is the information we use to query hospital inventory and return a realistic feasibility answer.
Anatomy · pathology · model task · intended claim
Modality · sequences · contrast · raw or derived data
Vendor · model · field strength · protocol · reconstruction
Case count · controls · disease mix · demographics · geography
Reports · labels · masks · measurements · outcomes · reviewer standard
Completeness · artefacts · exclusions · acceptance criteria
Permitted use · pilot and final volume · timeline · exclusivity
Serious buyers verify the supplier, the hospital authority, the population distribution and the de-identification method before purchase.
Inventory is checked before collection. Data moves only after rights, privacy scope and technical requirements are defined.
Convert the model roadmap into a testable data specification.
Check aggregate hospital inventory before requesting exports.
Confirm hospital rights, commercial scope and governance.
Remove identifiers while preserving an approved technical tag allow-list.
Classify series, derive volumes, join labels and document QC.
Review a small sample against technical and clinical acceptance criteria.
Execute supplier terms, permitted use and secure delivery.
We will return with inventory fit, gaps, a pilot structure and the diligence required before any dataset is offered.
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