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AI's dirty secret is data work. Dataloop built a business around doing it at scale

Behind every AI system is the messy work of organizing, labeling, reviewing and moving data through production; Dataloop provides tools for unstructured data, annotation and automation, with human review built into workflows for computer vision and other AI use cases

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AI systems depend on far more than a model. Data has to be organized, annotated, reviewed and moved through repeatable workflows. Dataloop provides tools for managing unstructured data, annotation and automation, with human-in-the-loop validation built into its platform.
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Dataloop, organizing data
(Photo: Courtesy of Dataloop)
Dataloop was founded by Avi Yashar and Nir Buschi, who remain listed as co-founders on the company’s leadership page. Its platform has deep roots in computer vision and supports workflows around images, video, LiDAR, audio and text.
Avi Yashar, DataloopAvi Yashar, Dataloop
Avi Yashar, co-founder and CEO
(Photo: Courtesy of Dataloop)
The company’s product suite includes data management, annotation and serverless automation pipelines designed to connect data preparation, model-related workflows and human review at scale.

In cooperation with Team8, Discount Tech and Deloitte Catalyst
First published: 14:18, 09.22.26
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