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DatologyAI is building tech to automatically curate AI training datasets

A new startup, DatologyAI, claims to be able to automatically curate the massive data sets on which AI models train.

Along with his co-founders Matthew Leavitt and Bogdan Gaza, a former engineering lead at Amazon and then Twitter, Morcos launched DatologyAI with the goal of streamlining all forms of AI data set curation. But some — for governance and compliance reasons or otherwise — are building models on custom data from scratch, and spending tens of thousands to millions of dollars in compute in order to train and run them. DatologyAI can scale up to “petabytes” of data in any format — whether text, images, video, audio, tabular or more “exotic” modalities such as genomic and geospatial — and deploys to a customer’s infrastructure, either on-premises or via a virtual private cloud.

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