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Help ML teams label the right data

Summer 2021B2B / B2B -> Engineering, Product and DesignZürich, ZH, Switzerland5 employees
Machine Learning
Data Labeling

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.

Founders (1)

Igor Susmelj
Founder

Details

Status
Active
Stage
Early
Team Size
5
Regions
Switzerland, Europe, Remote, Partly Remote