
Optimizing ML model accuracy by curating the best data for labeling.
Lightly, founded with the mission to optimize machine learning (ML) model accuracy, focuses on helping ML teams select the most impactful data for labeling. The company addresses the challenge of labeling vast datasets by enabling teams to identify and label the most representative 1% of their data, thus maximizing model accuracy without escalating costs. Lightly's core service leverages active learning to curate the best data subsets for computer vision tasks, facilitating iterative improvements in ML pipelines.
Notable figures and investors associated with Lightly include prominent names in the AI and tech investment community. The company has achieved significant milestones, such as enhancing model performance for various clients by optimizing their data labeling processes. Lightly's impact is evident in its ability to streamline ML workflows, reduce costs, and improve the efficiency of data-driven projects, making it a valuable player in the AI and machine learning landscape.

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Companies similar to Lightly include Labelbox, Labellerr, Datasaur and LinkedAI.
Lightly was founded in 2018.
Lightly's headquarters is located in Zürich, Zürich, CH.
Lightly's most recent funding round was for $3M (USD) in May 2022.
As of May 11, 2022, Lightly has raised a total of $3.1M (USD).
Lightly has 18 employees as of Feb 24, 2024.