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Scale AI was conceived in 2016 as a one-stop shop for supplying human labor to perform tasks that could not be done by algorithms — essentially, the antithesis of AI. Cofounders Alexandr Wang and Lucy Guo realized humans were vital in labeling the data needed to train the AI used in self-driving cars. Scale capitalized on that boom, setting itself up as a crucial data supplier for generative AI. It was last valued at $13.8 billion in May after closing a $1 billion funding round backed by Accel, Amazon, Meta and others.