Mercor has raised a $750 million Series D at a $20 billion valuation to scale our mission of organizing human intelligence for the entire economy.
Every company now needs what we built for the frontier AI labs. Over the next five years, more money will be spent applying AI to
AI agents do sensitive work across jobs like law, banking and consulting.
This work often involves knowledge of legal and business risk, but it’s not always obvious from the job description.
Sometimes risks are hidden in paperwork, policies, and other documentation. We tested
Google now has 3 of the top 4 models on APEX-Agents, our benchmark for real-world professional work in banking, consulting and law.
Gemini 4 Hydrogen from @GoogleDeepMind debuts at #4 with 78.0% Pass@1, joining Gemini 4 Carbon and Gemini 4 Argon.
1. Gemini 4 Carbon 84.2%
2.
Agents can write code. Can they finish real engineering work?
Introducing OWE-Bench, a new frontier coding benchmark: 26 long-horizon engineering projects designed by Mercor experts to test AI agents on engineering work, from GPU kernels to aircraft design.
Built by @jake_cole1
Recently, we released TaskNet, an open-source task catalog built on O*NET and updated for how AI is changing work.
Following this study, we surveyed professionals in the same six occupations asking which tasks they would hand to AI, which they would do themselves, and how much