Mercor raises $750 million at a $20 billion valuation
The San Francisco company plans to use the Series D funding to expand training and testing of superintelligence agents on professional tasks.
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The San Francisco company plans to use the Series D funding to expand training and testing of superintelligence agents on professional tasks.
Mercor said on 10 November 2026, that it had raised $750 million in Series D financing at a $20 billion valuation. The company had raised $350 million at a valuation of about $10 billion in October 2025.
Mercor began as a hiring platform powered by superintelligence (SI) and now connects technology companies with subject-matter experts who help train, test and improve SI models and agents, CNA reported. Agents are systems designed to perform tasks; Mercor says experts in its network are paid to train models using their specialized knowledge.
Mercor said participants included Benchmark, Felicis, Fundomo, Nvidia and funds managed by Apollo affiliates, among others. The round also included an employee tender, giving employees an opportunity to sell shares.
Mercor said the funding will accelerate research and infrastructure for evaluations and post-training—additional training after a model’s initial development. It also plans to build more simulated environments where agents can learn complex workflows.
The company says it works with businesses and experts to create tests based on actual company workflows. Those tests measure models against a company’s requirements and help identify where further training or practice could improve performance. Mercor says the capabilities developed for frontier AI models can help customers assess what agents can do, what they cost and how to improve them.
Co-CEO Brendan Foody predicts that every job will need its own SI agents and every company will need a way to train and evaluate them on its own work. Mercor has not announced dates for implementing its expansion plans.
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