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Mercor Pursues $10B+ Valuation as AI Model Training Market Heats Up

AI Startups Data Labeling Venture Capital OpenAI Funding TechCrunch
September 10, 2025
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Article Summary

Mercor is aggressively pursuing a Series C funding round, aiming for a $10 billion+ valuation, driven by the surging demand for human expertise in training and refining foundational AI models. The company, which acts as a bridge between AI giants like OpenAI and Meta and specialized domain experts – including scientists, doctors, and lawyers – is experiencing increased interest from investors. Sources indicate that Felicis, a returning investor, is considering doubling down on the company, while several VCs have already expressed interest, valuing Mercor as high as $10 billion. The company's business model centers around providing these specialized experts to AI labs and tech companies, charging an hourly finder’s fee and matching rate. Key to its growth is expanding into reinforcement learning infrastructure and eventually building an AI-powered recruiting marketplace. Mercor faces intense competition, notably from Surge AI (reportedly seeking a $25 billion valuation) and Scale AI, and even OpenAI itself may launch a human-expert-powered RL training service. The company’s revenue, currently approaching $450 million in annualized run-rate, includes fees paid by customers before contractors receive their portion – a standard practice highlighted by competitors. Mercor’s young leadership team, including former Uber CPO Sundeep Jain, further adds to the company's appeal.

Key Points

  • Mercor is seeking a Series C funding round aiming for a $10 billion+ valuation, highlighting the growing demand for human expertise in AI model training.
  • Several VCs are offering offers valuing Mercor as high as $10 billion, fueled by the increasing need for specialized knowledge in AI development.
  • The company's revenue, nearing $450 million, is driven by providing domain experts to AI labs and tech companies, utilizing a pay-per-hour model.

Why It Matters

This news signifies a critical inflection point in the AI landscape. As companies like OpenAI and Meta increasingly rely on large language models, the need for specialized human expertise – particularly in scientific, medical, and legal domains – is accelerating. Mercor’s success demonstrates a clear market need and a viable business model for connecting these two worlds. For professionals in AI, data science, and venture capital, this development underscores the importance of specialized talent and the potential for innovative startups to capitalize on the transformative power of AI. The competition among training providers suggests a rapidly expanding market with significant investment dollars at stake.

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