On 10 November 2026, San Francisco-based Mercor announced a $750 million Series D at a $20 billion valuation. The round included an employee tender, and the company has not disclosed how the $750 million splits between new primary capital and the tender. No lead investor was named. The participants include Nvidia, Salesforce and Zoom.
Who put in the money
The company listed Benchmark, Felicis, Fundomo, funds managed by affiliates of Apollo, G Squared, General Catalyst, Glade Brook Capital, Nvidia, Salesforce, Sapphire Ventures, StepStone Group, XTX Ventures and Zoom as participants. Mercor did not name a lead for the round.
The prior round is the obvious comparison. SiliconANGLE, The Next Web and Reuters, carried by Channel NewsAsia, reported a $350 million Series C in October 2025 at a $10 billion valuation, with SiliconANGLE naming Felicis as the lead on that deal. Set against the $20 billion figure Mercor has now announced, that is a doubling of the reported valuation compared with the October 2025 Series C. It is a comparison of two reported numbers and nothing more.
What Mercor is building
Mercor works in AI training, evaluation and post-training infrastructure, supplying human-expert data for models and agents. The company said it has a network of more than five million experts. It said the funding will be used to expand evaluation and post-training infrastructure, including environments where agents can learn professional workflows.
The company also said it acquired Deeptune earlier this year to recreate enterprise applications as practice environments for agents. Alongside the raise, Mercor said it has opened offices in New York and London this year, adding to its San Francisco base.
What the raise means for vendors
The practical signal here is where frontier labs and enterprises are spending next. Pre-training data contracts are a mature line item. Evaluation, post-training and agent environments are not, and a $20 billion valuation attached to that specific work tells vendors the budget is moving down the stack towards measuring and correcting model behaviour in domain-specific settings.
For sellers of tooling, compliance software, payments rails and workforce infrastructure, a network of more than five million experts is the relevant number rather than the headline raise. Contributor onboarding, cross-border payouts, identity verification and quality scoring all scale with that network, and two new offices in a single year usually means procurement decisions are being made in more than one place.
Vendors tracking similar deals can browse the wider list of recently funded startups, compare late-stage rounds through the Series D startups directory, and watch the cluster of San Francisco AI startups and the broader San Francisco startups list raising against the same thesis.
One caveat for anyone sizing the opportunity: because the tender portion is undisclosed, the capital available for the company’s stated priorities is smaller than $750 million by an unknown margin. Build pipeline forecasts on those priorities, which are evaluation and post-training infrastructure, including environments where agents can learn professional workflows, rather than on the headline figure.
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Sources: Mercor blog, 10 November 2026; Business Wire; Reuters via Channel NewsAsia; SiliconANGLE; The Next Web. Featured image: San Francisco Financial District at dusk, by Clay Gilliland, Wikimedia Commons, CC BY-SA 2.0.