Lightly

Help ML teams label the right data

Y CombinatorSummer 2021ActiveB2BEngineering, Product and DesignMachine LearningData Labeling

What they do

Problem

ML teams can only label a small fraction of their datasets and lack a good way to choose which data to label to maximize model performance.

Solution

Lightly provides tooling that selects the most representative and valuable subset of data to send for labeling so teams can improve accuracy at the same labeling cost.

Who it's for

ML teams and data science organizations that outsource or manage data labeling for model training.

Founders

Igor Susmelj

Founder

Igor has more than five years of experience in machine learning. He holds a degree in electrical engineering from ETH Zurich. During his studies, he developed a lot of experience in machine learning and robotics and had multiple successful publications in the area of deep learning at top conferences such as ICML and ECCV. He previously worked for two years at the Swiss stock exchange as a software engineer.

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