The end-to-end platform for Physical AI — from training data to production. Curate, label and understand your data, then pretrain, fine-tune and ship the models that run on it.
Two products, one pipeline. LightlyStudio is the data hub - curate, annotate, evaluate and visualize. LightlyTrain turns that data into production models
Everything you index is embedded automatically.
Filter by metadata, search by text or image, then run a sampling strategy - diverse coverage, deduplication, outlier detection, similarity, or class balancing - to keep only the subset worth labeling.
Create, edit and review annotations right where you work, whether that's a quick check or a full QA pass.
Every labeled object gets its own embedding, so you can search and cluster objects the same way you search whole images. Bring in SAM3 or a LightlyTrain model to auto-label the easy cases first.
Run an evaluation against ground truth and get per-sample metrics plus a confusion matrix, no separate script required.
Sort by false positives, false negatives or mIoU to jump straight to the samples your model gets wrong.
Install ready-made plugins for SAM3 segmentation, LightlyTrain auto-labeling and video bounding box propagation, or register your own.
A plugin is a Python function with a form, so anything you can script, your whole team can run from the UI.
Invite your team and give each person a role that matches what they should touch.
Viewers browse and export, Labelers tag and annotate, Editors configure the workspace, Admins manage it all.
Export annotations or filenames straight from the grid, or automate it in Python. Export the full dataset or just a filtered subset by tag or query.
LightlyStudio curates and labels the data. LightlyTrain learns from it. What the model learns flows back to make the next round of curation smarter.
Robots, drones and vehicles learn from what their cameras see and what their bodies do. Lightly turns that raw video, depth and telemetry into curated, labeled training data at the scale embodied AI needs.
Move data in and out through the Python SDK, drag-and-drop upload, or a plugin of your own.
Teams shipping Physical AI use Lightly to get from raw sensor data to a deployed model — in the field, on the line, and at the edge.
Expert annotators, domain specialists and managed collection pipelines — delivered into LightlyStudio, ready to curate.
Hover to see what we label
Hover to see what we label
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