Built to make medical AI research credible and accessible.
Datamint was created to help clinicians and researchers run reproducible, ethical AI research—without needing to become engineers or build custom infrastructure.
Our mission.
Enable clinicians and scientists to confidently lead AI-driven medical research by removing operational, technical, and regulatory friction.
Our vision.
A world where medical AI research is reproducible, transparent, and led by domain experts—not constrained by infrastructure or tooling gaps.
HOW DATAMINT CAME TO BE
Datamint began with a simple observation: medical researchers were spending more time managing data and tools than doing science. Despite growing pressure to adopt AI, most labs lacked the infrastructure, support, or clarity to do so responsibly.
Datamint exists to let clinicians and scientists spend more time doing science and less time managing tools.
Designed for how research actually works.
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Research workflows are iterative, not linear
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Teams change as students graduate and collaborators join
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Data evolves over time, requiring re-annotation and retraining
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Reproducibility and auditability matter long after publication
An infrastructure-first approach.
Lifecycle coverage
Datamint supports the full lifecycle of medical AI research — from data intake to publication and reuse.
Built-in continuity
Projects retain structure and history as people and data change.
Research-first design

Workflows are designed around research phases, not engineering abstractions.
Compliance by design
Audit trails, data provenance, and access logs are native — not bolted on.
WORKING WITH
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