❯ Mercor raises $750 million at a $20 billion valuation to expand enterprise AI agent evaluation

Valuation doubles in a yearMercor announced a $750 million Series D on November 10 at a $20 billion valuation, twice its October 2025 valuation. Benchmark, General Catalyst, Nvidia and Salesforce were among the participants. The round included an employee tender, and Mercor plans to invest more in evaluation, post-training and simulated work environments.

Turning expertise into evaluationsMercor initially organized specialists for frontier AI labs, turning their practical judgment into training examples and evaluations. It now also designs tests for enterprises, using their workflows and quality standards to measure whether agents finish tasks and how much each run costs. Companies can use the results to pick models and decide where additional training is needed.

Practice in simulated workplacesMercor acquired Deeptune this year. The team recreated hundreds of enterprise applications so agents could practice using them. Simulated environments allow companies to test the same workflow repeatedly and see whether a newer model completes it more reliably. Mercor aims to sell the expert network and testing capabilities it built for AI labs to a broader set of enterprises.

▮ SIGNALOnce agents are wired into internal workflows, general-purpose benchmarks reveal less about production performance. Mercor can fill that gap with tests based on the customer’s own tasks and acceptance standards.