Lightly
ActiveAI-nativeHelp ML teams label the right data
What it does
When ML teams send their data to companies like Scale.ai for labeling, most can only afford to label 1% or less of their datasets. But today they don’t have a good way to pick which 1% to label. We help them pick the best 1% of their data to label. By labeling the most representative data, they significantly improve model accuracy at the same cost.
Its site says now · captured 2026-08-23
Computer Vision Suite | Lightly
Improve machine learning models by pretraining them on your data and curating vision data for fine-tuning.
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