
Mercor, a company that links artificial intelligence labs with specialized domain experts for training their foundational AI models, has successfully raised $350 million, elevating its valuation to an impressive $10 billion, as confirmed to TechCrunch. Leading this funding round is Felicis Ventures, which previously spearheaded Mercor's Series B funding of $100 million at a $2 billion valuation. Joining the investment effort are existing backers Benchmark and General Catalyst, along with new participant Robinhood Ventures. Reports from TechCrunch in September indicated that Mercor was negotiating with investors to secure this Series C funding, initially targeting a valuation of $8 billion. Originating as an AI-focused hiring platform, Mercor swiftly transitioned to connecting companies with highly specialized professionals—such as scientists, doctors, and lawyers—who assist in AI model training. The company operates by charging a finder’s fee and a matching rate for the services provided by these experts. Additionally, Mercor is enhancing its software infrastructure to support reinforcement learning, a technique that enables models to refine their decision-making processes through feedback. The startup's long-term vision includes developing an AI-driven recruiting marketplace. Mercor's growth trajectory has been notably influenced by recent developments in the AI sector, including significant shifts among major labs like OpenAI and Google DeepMind, which reportedly severed ties with data-labeling startup Scale AI after Meta's substantial $14 billion investment in the vendor. The company has indicated to investors that it is poised to reach an annual recurring revenue (ARR) of $500 million more rapidly than Anysphere, the startup behind Cursor, which achieved this milestone approximately a year after launching its main product. In a blog post shared with TechCrunch, Mercor noted, “Since our inception almost three years ago, the pace of advancements in AI has been remarkable. However, challenges remain in understanding the nuances that create economically valuable outcomes—such as balancing trade-offs and discerning intent.” Currently, Mercor compensates its contractors over $1.5 million each day, boasting a roster of more than 30,000 experts who earn an average of over $85 per hour. Looking ahead, Mercor aims to focus on expanding its talent network, enhancing its contractor-client matching system, and innovating new products to automate more of its operations.
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