Meet the world’s youngest self-made billionaire, who skipped finals to make an empire out of teaching AI ‘what only humans know’

Mercor, co-founded by Brendan Foody, Adarsh Hiremath, and Surya Midha, has rapidly scaled to a $10 billion valuation within two years, making its founders the youngest self-made billionaires, through its innovative human-in-the-loop AI training and evaluation platform. The company leverages professionals to create detailed rubrics and 'evals' that teach AI models human judgment and reasoning, exemplified by its proprietary APEX index which benchmarks AI performance on real-world professional tasks. This model positions Mercor at the nexus of mainstream AI adoption and the flexible work economy, promising significant growth by refining AI capabilities and reallocating human labor to higher-value tasks.

Analysis

Mercor, a private company, has achieved a remarkable $10 billion valuation within two years of its inception, driven by its innovative human-in-the-loop AI training and evaluation platform. The company reported a $1 million revenue run rate within its first nine months, demonstrating exceptionally rapid market penetration and demand for its specialized services. This swift ascent has also made its co-founders, Brendan Foody, Adarsh Hiremath, and Surya Midha, the world's youngest self-made billionaires.

The company's core offering involves leveraging skilled professionals—including consultants, lawyers, and doctors—to create detailed "evals" and rubrics that teach AI models human judgment and reasoning. Mercor's proprietary APEX (AI Productivity Index) further differentiates its approach by benchmarking AI performance on 200 real-world professional tasks, supported by a heavyweight advisory group including former Treasury Secretary Larry Summers. This positions Mercor at the critical intersection of mainstream AI adoption and the burgeoning flexible, project-based work economy.

Mercor's growth is fueled by a powerful flywheel effect, where each new corporate client expands its network of evaluators, who in turn refine more AI models, thereby generating both data and demand. The company claims one of the "fastest revenue ramps of any company in history," aligning with its founders' vision of AI reallocating labor to higher-value human tasks rather than eliminating it. This strategic focus on enhancing AI capabilities through human expertise underscores its potential to reshape future labor markets.

Key Decisions for Investors

• Investors should monitor Mercor for potential future private market investment rounds, given its rapid $10 billion valuation and "fastest revenue ramps" claim.
• Evaluate the long-term impact of Mercor's human-in-the-loop AI training model on the broader AI ecosystem and the future of professional services, considering its potential to redefine labor allocation and productivity across industries.
• Assess the competitive implications for public companies in AI development, HR technology, and professional consulting, as Mercor's unique approach could set new industry standards for AI integration and performance.