Market · AI in practice

Mercor announces a $750 million Series D to evaluate and train agents on each company's work

Mercor announced a $750 million Series D at a $20 billion valuation, twice the previous $10 billion mark. The round includes an employee tender. The plan is to bring enterprises the same custom evaluation and post-training infrastructure the company built for frontier labs, with a network of more than five million experts.

Company or topicMercor

What the sources report

Mercor announced a $750 million Series D at a $20 billion valuation, twice the previous $10 billion mark, according to Reuters. The round includes an employee tender, along with participation from investors such as NVIDIA and Salesforce, according to the company's blog. That is why I am not treating the $750 million as if all of it were new primary capital.

The plan is to take what Mercor built for the frontier labs, custom evaluations based on each company's real workflows and post-training, with a network of more than five million experts, and bring that to companies that want agents doing real work. In the same post, the company says it already spends three times as much on inference as it spends on employee salaries.

My take

Every company that puts an agent into production will need its own test of what done right means in its own work.

Author

Adriano Meirinho · Co-founder & CAIO (Chief AI Officer) at Celcoin. About

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