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Unitlab AI Product Update for October, 2025

Here's the summary of what we have been working on in October 2025. It's a lot.

Unitlab AI Product Update for October, 2025
October Product Update for Unitlab AI

October has been a big month at Unitlab. We’ve focused on refining the platform experience and laying the groundwork for new capabilities that make labeling faster, cleaner, and more flexible for AI teams everywhere.

This is our first formal product update and it’s a reflection of what we care about most: building tools that actually make your workflow better, not just bigger.

So, let's share updates.

A Better Overall Experience

The latest update brings a polished new UI and smoother interactions across the platform. Navigation feels faster, the interface is cleaner, and tools behave more intuitively. We’ve fine-tuned the main menu and redesigned the workflow UI to make everyday annotation more intuitive and fluid.

Improved overall experience | Unitlab Annotate
Improved overall user experience | Unitlab Annotate

Medical Data Annotation: In Beta

Our new medical data annotation module is now in beta, with a full release coming soon. It’s built for labeling imaging data such as ultrasound, CT, and MRI with precision and speed. The module supports multi-view workflows, advanced labeling controls, and better visualization options to handle the complexity of medical datasets.

Medical Image Annotation in DICOM: Coming Soon | Unitlab Annotate
Medical Image Annotation in DICOM: Coming Soon | Unitlab Annotate

We’re already testing it with early users and research partners, and the feedback so far has been great.

New: Dataset Release Feature

We also introduced the Dataset Release feature, a simple way to publish, version, and share labeled datasets directly from Unitlab. It brings structure to your data operations, making it easier to prepare and distribute datasets for model training or external collaboration.

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Dataset Release Feature | Unitlab Annotate

Coming Soon: Data Augmentation

We’re putting the finishing touches on data augmentation, a feature that automatically creates variations of your existing datasets to improve model robustness and balance. It’s an easy way to scale training data diversity without sourcing new samples.


That wraps up our October updates. We’re already working on what’s next: more automation, more control, and more ways to help teams focus on what matters most: building better AI.

If you’re working with medical data and want early access to the beta, reach out to join the next round of testers.