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Mercor raises $750M Series D at $20B valuation to sell AI training services beyond labs

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17

Why it matters

Mercor, an AI training startup, announced on November 10, 2026 that it closed a $750 million Series D round at a $20 billion valuation, double the $10 billion it was worth a year earlier. The company says the money will fund evaluation and post-training infrastructure, plus more environments where AI agents learn multi-step workflows. Each environment pairs recreated software with tasks and verifiers. Deeptune, which Mercor acquired in July 2026, supplies the software, and Mercor's experts write the tasks. Investors include Benchmark, General Catalyst, Nvidia, Salesforce and Zoom. Co-CEO Brendan Foody says the strategy is to help companies train and evaluate their own AI agents on internal work. Mercor manages a network of more than 5 million specialists, and its frontier AI lab customers have been its main buyers so far.

The company's reported run-rate revenue of $3 billion and its plan to sell to Fortune 500 firms are not independently verified; both figures come from a single outlet's reporting. Terms of the round beyond the headline numbers have not been disclosed. Earlier reports said Nvidia was in talks to back the round and General Catalyst was expected to lead it, and a July report had already put the target valuation at $20 billion.

The deal is part of a broader AI investment surge. Crunchbase data cited by Reuters puts AI-driven startups at $102 billion raised in the third quarter of 2026, or 64% of global venture capital. For attorneys, the key items to track are the buyer base and the contracting model. If Mercor's Fortune 500 push succeeds, expect more enterprise agreements covering data handling, confidentiality of internal workflows used to build agent environments, and IP ownership of the tasks and verifiers its experts write.

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