Mercor completes 750000000 USD Series D financing, valuation reaches 20000000000 USD
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AT A GLANCE
According to the flash report, Mercor announced completion of 750000000 USD Series D financing, with a valuation of 20000000000 USD, and is expanding its business into large enterprises.
Article
AI Data company Mercor completes 750000000 USD Series D financing, valuation 1 doubles year over year to 20000000000 Beating Flash:AI reported that AI data company Mercor announced the completion of 750000000 USD Series D financing, reaching a valuation of 20000000000 USD, double October year over year. Investors included Nvidia, Salesforce, Zoom, Benchmark, and General Catalyst.
Mercor founder Brendan Foody said that, as enterprises began evaluating and training AI models themselves, the company took just 27 months to increase its annualized revenue run rate from 1000000 USD to 3000000000 USD.
Mercor primarily recruits professionals such as doctors, lawyers, and programmers to design tasks, evaluate AI's responses, and create training data. In the past, it mainly served model developers such as OpenAI, Anthropic, and Google. In the first half of this year, 91%of its total revenue still came from these types of customers.
Mercor is now expanding its business to large enterprises. It designs AI tests based on enterprises' actual workflows and uses technology from its previously acquired Deeptune to simulate hundreds of enterprise software applications, allowing agents to practice repeatedly in environments close to real ones.
Original link https://m.theblockbeats.info/flash/376732
Key points
01
Flash report: Mercor announces completion of 750000000 USD Series D financing, valuation reaches 20000000000 USD, double October year over year.
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The report lists Nvidia, Salesforce, Zoom, Benchmark, and General Catalyst among the investors.
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Founder Brendan Foody said the company took 27 months to raise its annualized revenue run rate from 1000000 USD to 3000000000 USD, attributing this to enterprises beginning to evaluate and train AI models themselves.
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Mercor primarily recruits professionals such as doctors, lawyers, and programmers to design tasks, evaluate AI responses, and create training data.
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The report says that in the first half of this year, 91%of its total revenue still came from customers such as model developers; in the past, its main customers included OpenAI, Anthropic, and Google.
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Mercor is expanding into large enterprises, designing AI tests based on enterprise workflows and using technology from its earlier acquisition of Deeptune to simulate hundreds of enterprise software applications for agents to practice with repeatedly.
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
Mercor's business involves having professionals create questions for AI, evaluate responses, and produce training data. The reported business expansion is a shift from mainly serving model developers to designing tests and practice environments for large enterprises that are closely aligned with actual work. The financing, valuation, and revenue growth figures come from company statements or comments by its founder as reported.
Why it matters to readers
What makes this news noteworthy is not only the size of the financing but also the shift in customer mix: the report says Mercor is expanding into large enterprises, while also showing that its first-half revenue this year remained highly concentrated among model developers.
When reading this, distinguish between the financing amount, valuation, and annualized revenue run rate; they are not the same metric. The original report also does not explain whether 3000000000 USD corresponds to actual full-year revenue.
Risks and unknowns
The materials provided do not include an original company announcement or financial documents, so the financing and revenue claims have not been independently verified.
The calculation methodology and reference date for the annualized revenue run rate, as well as actual full-year revenue, were not disclosed.
The investment amounts from each investor and the specific financing terms were not disclosed.
The revenue scale and expansion results of the large-enterprise business were not disclosed.
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The original text uses relative time references such as “last year October” and “the first half of this year”; the corresponding years are not specified in the body.
Related concepts
Series D financing
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