Mercor Eyes $10B Valuation as Revenue Soars Past $450 Million
Mercor, a fast-growing startup that connects leading AI labs with domain specialists to train and refine their models, is reportedly in discussions with investors for a Series C funding round, according to multiple sources familiar with the matter and a marketing document reviewed by TechCrunch.
Fresh Funding Talks
Returning investor Felicis is said to be considering doubling down on the company, though it declined to comment publicly. Sources indicate that Mercor is targeting a valuation of $10 billion or higher, a significant jump from the $8 billion target floated just a few months ago.
While the final terms are still being negotiated, investors are already showing strong interest. In fact, according to The Information, venture capital firms have approached Mercor preemptively with offers valuing the company at up to $10 billion.
To bolster fundraising efforts, Mercor has also added at least two new backers through special purpose vehicles (SPVs).
Meteoric Revenue Growth
Founded in 2022, Mercor is scaling at a rapid pace. One insider reported that the company is closing in on $450 million in annualized run-rate revenue (ARR). For comparison, just in February, the company disclosed ARR of $75 million, and by March, CEO Brendan Foody shared on X that ARR had already hit $100 million.
Investors have also been told that Mercor expects to surpass $500 million ARR faster than Anysphere, the AI startup behind coding assistant Cursor, which reached that milestone within a year of launching. Unlike Anysphere, which remains unprofitable, Mercor reportedly delivered $6 million in profit in the first half of the year (Forbes).
Business Model: Experts on Demand
Mercor earns its revenue by providing clients with specialized experts—including scientists, doctors, and lawyers—who train AI systems. The company charges both a finder’s fee and an hourly matching rate for this expertise.
The startup says it supplies contractors to five of the world’s top AI labs—Amazon, Google, Meta, Microsoft, and OpenAI—along with Tesla and Nvidia. A large portion of its income reportedly comes from partnerships with OpenAI.
Looking ahead, Mercor is telling investors it plans to expand into reinforcement learning (RL) infrastructure, a technique where AI models learn from trial-and-error feedback, and is also eyeing the creation of an AI-powered recruitment marketplace.
Competition and Challenges
Despite its growth, Mercor faces stiff competition. Surge AI is reportedly in talks to raise funding at a $25 billion valuation, while rivals like Turing Labs and Scale AI are expanding into RL services. Moreover, OpenAI’s recently launched hiring platform could position the company to build its own expert-driven RL training service.
Adding to the pressure, Mercor is currently embroiled in a lawsuit filed by Scale AI, which accuses a former employee—who later joined Mercor—of misappropriating confidential documents containing customer strategies and proprietary information.
Leadership and Founders
Mercor was co-founded in 2023 by Brendan Foody (CEO), Adarsh Hiremath (CTO), and Surya Midha (COO)—all Harvard dropouts and Thiel Fellows still in their early twenties. To strengthen its leadership, the company recently appointed Sundeep Jain, former chief product officer at Uber, as its first president, according to Forbes.
When asked about the funding talks, Foody told TechCrunch:
“We haven’t been trying to raise at all. We turn down offers every month.”
He also emphasized that ARR is actually higher than $450 million, though clarified that reported revenue includes total client payments before contractors take their share. He noted that this accounting method is standard across the industry and used by competitors like Surge AI and Scale AI.
Outlook
If current momentum continues, Mercor could soon cement itself among the leading players in the AI infrastructure ecosystem. Its combination of profitable growth, strong investor demand, and early diversification into RL places it in a favorable position—even as lawsuits and rising competition test its resilience.
Sources: TechCrunch, The Information, Forbes
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