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Mercor raises $750M at a $20B valuation and takes its forward-deployed model to enterprises

Mercor, which built its business supplying expert data to frontier AI labs, raised a $750M Series D and is expanding into enterprise AI, where every engagement pairs business experts and forward deployed engineers with its evaluation platform.

Mercor announced a $750 million Series D at a $20 billion valuation on November 10, with participation from investors including Benchmark, Felicis, General Catalyst, NVIDIA, Salesforce and Zoom. The company says the money will go into evaluation and post-training infrastructure, research, and more realistic environments where AI agents can practice enterprise workflows, building on its acquisition of Deeptune earlier this year.

The bigger shift is who Mercor sells to. After two years working mostly with frontier labs, it is now pitching enterprises across industries on building custom evals around their own workflows and then deploying and improving agents in production. Mercor's enterprise offering describes every engagement as a combination of business expertise, forward deployed engineers who build and deploy AI into the customer's workflows, and its own platform for context, connectors and evaluation.

For FDEs, this is another well-funded company putting the role at the center of its enterprise go-to-market, and one that leans heavily on evals: proving to a customer that an agent meets its quality bar before and after it goes live. Mercor has also opened offices in New York and London this year to be closer to the enterprises and labs it serves.

Source: www.mercor.com