One integrated computer vision platform for labeling, curation, QA, and datasets management. Open-source at its core, LightlyStudio is built for ML engineers and organizations scaling computer vision.
Two products, one pipeline. LightlyStudio is the data hub - curate, annotate, evaluate and visualize. LightlyTrain turns that data into production models
Label images and video, review annotations,and keep quality checks close to the data—without moving between tools.

Label images and video, review annotations,and keep quality checks close to the data—without moving between tools.

Label images and video, review annotations,and keep quality checks close to the data—without moving between tools.

Label images and video, review annotations,and keep quality checks close to the data—without moving between tools.

Label images and video, review annotations,and keep quality checks close to the data—without moving between tools.

Label images and video, review annotations,and keep quality checks close to the data—without moving between tools.

Lightly’s suite of tools integrates into your existing machine learning pipeline, facilitating data curation, model training, and deployment processes.

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.
Self-Supervised Pretraining
Leverage self-supervised learning to pretrain models
AI Training Data for LLMs & CV
Expert training data services for LLMs, AI Agents and vision
Expert annotators, domain specialists and managed collection pipelines — delivered into LightlyStudio, ready to curate.
Vetted domain experts matched to your task — across physical AI, multimodal systems and LLMs.
Training-ready data for physical AI, collected by in-field operators and at teleoperation facilities.
One data infrastructure partner for physical AI, from first collection through deployment feedback.

Join the growing community of ML engineers using Lighlty.ai to build efficient, accurate computer vision systems form data curation to deployment

Want in? Collaborate with 300+ ML engineers optimizing data for their AI models.