Qualitative Health datasets in 4 main steps

Preparing and delivering enriched, qualitative and legally exploitable datasets for healthcare innovation

1/ Collection

Valorizing health data produced in health institutions is a win-win partnership for improving long term patient outcomes.

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2/ Data Enrichment

Using AI methologies is key for extracting, indexing and valorizing non-structured data from different medical data sources.

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3/ Dataset buildings

Leveraging health data requires the datasets to perfectly fit the usecases requirements: anatomy, exam type, pathologies, etc.

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4/ Delivering

Secured, exclusive and fast environment for datasets delivery to extract efficently the most valuable results.

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Enriched Datasets

Ready to train/test/validate your AI algorithms

Representative

Multi-source to reduce biases from hardware type or geographical specifities

Anonymized

Easy to handle datasets with no link possible to patients

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Sebastian Tavolaro
CMO

Partner Radiologist

Ex-AP-HP

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Pierre Campredon
CEO

MedTech Entrepreneur

Ex-Moon Surgical

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Amine Bouamama
CTO

Data Science Engineer

Ex-BCG