Mercor announced a $750 million Series D at a $20 billion valuation, doubling its previous valuation as the AI training company plans to broaden tools for businesses evaluating AI agents.
The company announced the financing Tuesday, Nov. 10, and said the transaction included an employee tender. It did not disclose how much of the $750 million was associated with that part of the deal.
Mercor’s previous announced financing was a $350 million Series C at a $10 billion valuation on Oct. 27, 2025. The new valuation doubles that figure in a little over a year. The announced total for the latest round is also more than twice the $350 million reported for the Series C.
Mercor said it will use the funding to expand research and infrastructure for AI model evaluation and post-training. It also plans to develop more simulated work settings where agents can practice complex professional assignments.
The company says employers can use custom assessments built around their own workflows to measure how agents handle workplace tasks. Mercor says the results can help identify where further training may be useful. It is adapting capabilities it developed with frontier AI labs for businesses, according to the company.
Mercor says its network includes more than five million experts who contribute professional knowledge to AI training. The company’s plans connect that work with employer-facing evaluations: expert knowledge supports training, while workflow-based tests assess how models perform in a specific business setting, Mercor said.
Co-founder and co-CEO Brendan Foody said, “Every job in the economy will need its own AI agents.” Mercor’s funding release named 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 among the investors.
The funding announcement came as AI-driven startups across the stack raised $102 billion in Q3 2026, representing 64% of global venture capital, Crunchbase reported.
