Lightly
Help ML teams label the right data
Hiring
About
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.
Topics
- Location
- Zürich, Switzerland
- Team size
- 5 employees
- YC batch
- Summer 2021
- Status
- Active
- Stage
- Early stage
