Mercor
Category: AI in HR & Talent
Mercor organizes human intelligence to power the AI economy by connecting domain experts (scientists, doctors, lawyers) with AI labs to train foundational AI models. Mercor was founded in 2023. The company is led by Brendan Foody. Based in San Francisco, CA, USA. Team size: 101-500. Total funding raised: $483.6M. Latest round: Series B ($100M, Feb 2025) at $2B valuation. Key investors include Felicis, Benchmark, General Catalyst, DST Global, Menlo Ventures.
AMW Analysis
Mercor connects vetted domain experts—scientists, doctors, lawyers—with AI labs to support training, evaluation, and reinforcement learning of foundational models, positioning itself around the human-data bottleneck in frontier AI development. Founded in 2023 and based in San Francisco, the company has raised $483.6 million to date, including a $100 million Series B in February 2025 at a $2 billion valuation from investors such as Felicis, Benchmark, General Catalyst, DST Global, and Menlo Ventures. Subsequent news flow shows a rapid step-up: a $350 million Series C reported in October reportedly valued the company at $10 billion, and by July it was in early-stage talks for a new round at a $20 billion valuation alongside reported revenue doubling to $2 billion, attributed to rising AI training demand. The company also acquired Deeptune, an AI agent training firm. Alongside its core data-labeling and expert-vetting business, Mercor has expanded into an AI-native talent platform automating sourcing, screening, interviewing, and onboarding through specialized AI agents, broadening its footprint from AI-lab data supply toward general hiring automation.
AMW analysis, generated from 3 tracked news signals.
- Founded
- 2023
- Headquarters
- San Francisco, CA, USA
- Team size
- 101-500
- Total funding
- $483.6M
Value proposition
Mercor provides AI labs with vetted domain experts for model training, evaluation, and reinforcement learning, solving the data bottleneck in frontier AI development.
Products and solutions
Expert network for AI model training, APEX-Agents benchmark, AI-powered expert matching and evaluation platform
Unique value
Mercor provides the human expertise layer that frontier AI models need for post-training, RLHF, and evaluation — solving the data bottleneck that pre-training alone cannot address.
Target customer
Frontier AI labs (OpenAI, Anthropic, Google DeepMind) and enterprises needing domain experts for model training, RLHF, and AI evaluation.
Industries served
AI/ML, Software Engineering, Law, Medicine/Healthcare, Finance/Investment Banking, Consulting, Biotech, Scientific Research
Technology advantage
AI-powered vetting system conducting 20-min structured video interviews; proprietary dataset on talent quality from 468K+ evaluated applicants; network effects from expert placements creating compounding data advantages.
How they differentiate
Mercor pivoted from AI recruiting to become the expert service layer for frontier model development, capitalizing on the data bottleneck after Meta's Scale AI acquisition caused AI labs to seek alternatives.
Main competitors
Scale AI, Surge AI, Invisible Technologies, Turing AI
Key partnerships
Felicis, Benchmark, General Catalyst, DST Global, Menlo Ventures, Robinhood Ventures
Notable customers
OpenAI, Anthropic, Google DeepMind, Meta
Major milestones
Rapid valuation growth to $2B (Feb 2025) then $10B (Oct 2025), Expansion to 30,000+ contractors paying $1.5M+ daily, $500M ARR trajectory, APEX-Agents benchmark launch (Jan 2026), Founders became youngest self-made billionaires (2025)
Growth metrics
Scaled from $1M to $500M ARR in ~20 months. Manages 30,000+ contractors with $1.5M+ daily payouts. On track to $500M ARR faster than any company before.
Market positioning
Mercor positions itself as critical infrastructure for the AI economy, organizing human intelligence to power frontier model development and post-training.
Geographic focus
Global talent network across 25+ countries. HQ in San Francisco, CA. Expanding to NYC (Jan 2026 per CEO LinkedIn).
Patents and IP
Not specified in available sources.
About Brendan Foody
Brendan Foody is the co-founder and CEO of Mercor, an AI-powered recruitment platform. He is a Thiel Fellow and dropped out of Georgetown University to start the company. He has experience in the tech industry, having previously founded A1 Operations and worked in policy at Advanced Energy Economy (AEE).
Latest news about Mercor
- Nvidia in talks to invest in AI data supplier Mercor at $20B valuation
- Mercor and peers drive enterprise demand for internal datasets
- Mercor nears $20B valuation as AI training demand surges and revenue doubles to $2B
- Mercor launches AI-native talent platform claiming 80% faster hiring cycles
- The $10 Billion Startup Training AI to Replace the White-Collar Workforce
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Official website: https://mercor.com/