Annotate image, video, audio, text, documents, DICOM and volumetric medical data, whole-slide pathology, and geospatial imagery in one platform. Unitlab AI keeps multimodal training data consistent with shared ontologies, AI assistance, and governed quality control.








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Curate, organize, search, and version multimodal datasets in one place. Inspect image, video, audio, text, document, medical, pathology, and geospatial data while preserving lineage across annotation and review workflows.

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Yes. You can use Unitlab AI for free, no credit card required. The free plan is great for getting started and testing workflows. If you need more scale, advanced features, or custom setups, paid plans are available.
Yep. Start free and upgrade anytime. Most teams begin on the free plan and move to a paid plan once their datasets or team size grow.
Unitlab AI supports image, video, audio, text, document, DICOM and volumetric medical imaging, whole-slide pathology, and geospatial annotation. Teams can curate, annotate, review, version, and manage these data types in one governed platform.
Yes. Unitlab AI includes built-in AI models to speed up annotation with auto-labeling, tracking, and segmentation. You can review, edit, and validate everything to keep quality high.
Absolutely. Unitlab supports Bring Your Own Model (BYO) workflows. You can plug in your own models, combine them with Unitlab’s built-in models, and run multiple models in a single annotation workflow.
Platform pricing depends on the plan, team size, storage, and workflow requirements. Start on the free plan, then upgrade as dataset volume, collaboration, security, or deployment needs grow.
You do. With on-premises deployments, all data stays inside your own infrastructure and Unitlab has no access to it. If you use Unitlab’s hosted platform, your data is encrypted and isolated, and is not visible to Unitlab staff. Access is strictly controlled and limited to your team based on roles and permissions.
It does. Unitlab is built for teams, with support for multiple annotators, reviewers, approval steps, and full annotation history so nothing gets lost.
Yes. Unitlab is designed to scale, from small experiments to production-level data annotation. Teams use it to manage large datasets, complex workflows, and long-running annotation projects.
See how teams use Unitlab to annotate data, collaborate, and scale AI workflows.














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