Jul 14, 2026ARR Milestone
Mercor is in talks for a $20B valuation after hit $2B ARR
After Mercor announced its annualized revenue run rate (ARR) surpassed $2 billion, representing an impressive 100% growth in just four months, it likely propelled the company to initiate discussions for a new funding round at a $20 billion valuation—double its $10 billion valuation from October after a $350 million Series C raise. Furthermore, Mercor strengthened its position by acquiring Deeptune, a company specializing in AI agent training, with the full Deeptune team joining Mercor. These achievements signal the company's remarkable recovery following early 2026 challenges, including a data breach and contract worker lawsuits. The combination of rapid revenue growth, strategic acquisitions, and ongoing funding discussions underscores Mercor's robust market momentum.
Jul 10, 2026ARR Milestone
Mercor acquires Deeptune to expand AI training environments across industries
Mercor, a leading AI training environment builder, has announced the acquisition of Deeptune, a company specializing in creating software platforms for reinforcement learning. Deeptune, which raised a $43 million Series A led by Andreessen Horowitz earlier this year, brings expertise in recreating enterprise applications and building advanced training environments. This acquisition enables Mercor to scale its operations by combining its network of over five million domain experts with Deeptune's technological capabilities, facilitating the creation of realistic environments for AI training across various industries and workflows. This move positions Mercor as a comprehensive partner for organizations looking to train and deploy AI agents effectively.
Sep 16, 2025Memo
$1M-$500M in revenue run rate in 17 months
The growth is still accelerating, averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September.
One trend driving this meteoric growth: the Economy is Becoming an RL Environment Machine.
Reinforcement learning is becoming so effective that agents can hillclimb any benchmark, but humans need to define the rewards to automate everything.
While everyone fears job loss, they’re creating a new category of knowledge work faster than any other time in history. The future of work will converge on training agents.
They're paying out over $1M / day to people in their marketplace and hiring experts rapidly across nearly every domain: software engineers, doctors, lawyers, consultants, bankers, and many more.
