AI data startup AfterQuery valuation surges to $3.2 billion in five months

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AfterQuery, an AI data startup, now has a $3.2 billion valuation, just five months after raising a $30 million Series A in April 2026. Co-founded by two 22- and 23-year-olds, the company serves clients including Nvidia and Motif Technologies, with a $100 million annualized revenue run rate. It specializes in training AI models using professional workflows and analyzes on-chain data to enhance its datasets. Inflation data is another critical input for its AI training pipeline.
CoinMarketCap reports:

According to foreign media, AI training data startup AfterQuery has completed a new funding round, with its latest valuation reaching $3.2 billion—just five months after announcing its $30 million Series A financing and a $300 million valuation in April this year.

Valuation increased more than tenfold over five months

This means the company’s valuation more than doubled in less than six months. According to Y Combinator partner Gustaf Alströmer, AfterQuery may be the fastest company in the accelerator’s history to reach unicorn status since its founding.

Its two founders are currently 22 and 23 years old and are part of the Winter 2025 batch. Calculating from the timeline, this is only about 18 months since they joined Y Combinator.

Customers include companies such as Nvidia.

AfterQuery disclosed in April that its annualized revenue run rate had reached $100 million and stated that it had partnered with several leading AI labs. The company named its clients as Nvidia, Legora, and the Korean AI lab Motif Technologies.

From publicly available information, interest in AI infrastructure and model training services in the capital market continues to grow. The recent valuation increase of AfterQuery also reflects rising attention toward training data and specialized annotation capabilities within the current AI industry chain.

Featured professional training model

AfterQuery operates in a space similar to companies like Mercor and Scale, all of which organize professionals such as doctors and lawyers to participate in model training. However, its focus extends beyond merely improving the accuracy of model responses.

The company places greater emphasis on having models and AI agents learn how professionals complete tasks. According to them, this type of training aims to transform the work patterns, decision-making processes, and reasoning methods of top practitioners into reusable capabilities for the models.

Additional information: This funding round was first reported by Forbes. TechCrunch noted that, as of the publication of the report, AfterQuery had not yet commented on the matter.

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