Data management software for AI medical research.
Successful AI projects begin with well-organized data. Datamint helps research teams securely manage, organize, and prepare medical imaging datasets through centralized workflows built specifically for AI research. From importing raw imaging data to preparing AI-ready datasets, Datamint keeps your research organized, accessible, and ready for every stage of model development.

Stay organized from day one.

As datasets grow, so does the complexity of managing them. Images become scattered across folders, collaborators work from different versions, and valuable time is spent searching for files instead of advancing research.
Datamint brings your entire dataset into one centralized platform, making it easy to organize imaging studies, manage metadata, and keep every contributor working from the same source of truth.
Whether you're managing a single research project or multiple studies across your lab, Datamint helps eliminate the chaos of disconnected files and fragmented workflows.

Manage medical imaging data with confidence.
Built specifically for medical AI research, Datamint gives your team the tools to organize datasets efficiently while maintaining the flexibility researchers need.
Keep every image, study, and project in one secure location.
Organize datasets using custom projects, folders, metadata, and tags so your team can quickly find exactly what they need — without digging through spreadsheets or shared drives.
Centralized Dataset Organization
Find the right data in seconds.
Search datasets using metadata, labels, imaging studies, annotation status, or custom filters to quickly locate the images relevant to your research.
Powerful Search & Filtering
Give every contributor access to the data they need.
Researchers, clinicians, students, programmers, and collaborators can work from the same centralized dataset while maintaining organized workflows and clear project visibility.
Secure Collaboration
Datamint was designed for the unique challenges of medical imaging research.
Support for DICOM, NIfTI, and other common medical imaging formats, combined with research-focused workflows, helps teams spend less time managing files and more time building better AI.
Built specifically for Medical Imaging
From raw data to research-ready datasets.
Preparing data for AI development shouldn't require multiple disconnected tools. Datamint streamlines the entire data management process so researchers can focus on building better models.
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Import
Upload medical imaging datasets into a centralized workspace.
Organize
Categorize projects using metadata, projects, tags, and custom organization.
Manage
Maintain clean, searchable data while collaborating across research teams.
Prepare
Ensure datasets are complete, organized, and ready for annotation, segmentation, or model development.
Build
Move seamlessly into the next stage of your AI workflow with research-ready data.
Collaborate without losing track of your data.
Managing research data is rarely a solo effort.
As projects grow, so do the number of collaborators contributing datasets, annotations, reviews, and experiments. Datamint keeps everyone working from the same organized workspace, reducing duplicate work and ensuring every team member has access to the latest project data.
With Datamint, you can:
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Centralize datasets across projects
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Organize images with metadata and tags
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Share data with collaborators
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Monitor project progress in real time
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Maintain one source of truth for every dataset


Why researchers choose Datamint.
Built around research workflows
Datamint helps research teams organize data the way AI projects actually evolve, from initial collection through model development.
One central source of truth
Eliminate disconnected folders, spreadsheets, and duplicate datasets by managing everything from one platform.
Better team collaboration
Keep researchers, clinicians, and collaborators aligned with shared datasets and centralized project organization.
Faster project setup
Spend less time organizing files and more time training models with structured, searchable datasets.
More than data storage
Datamint combines data management, annotation, segmentation, experiment tracking, and project organization into one connected research platform.
Continue exploring Datamint.
Looking for more than AI data management? Explore how Datamint supports every stage of the AI research lifecycle.
