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AfterQuery reportedly valued at $3.2 billion, YC's fastest unicorn

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AfterQuery reportedly valued at $3.2 billion, YC's fastest unicorn

AI training-data startup AfterQuery has reportedly raised a new funding round that values the company at $3.2 billion, according to a report first published by Forbes. TechCrunch, which said it could not immediately reach AfterQuery for comment, frames the figure as reported rather than independently confirmed.

The jump comes just five months after AfterQuery announced a $30 million Series A round in April at a $300 million valuation, an increase of more than 10x in less than half a year. Y Combinator partner Gustaf Alstromer said this makes AfterQuery the fastest company in the accelerator's history to go from launch to unicorn status. The company's founders, now 22 and 23 years old, went through Y Combinator's Winter 2025 cohort just 18 months ago.

In April, the San Francisco startup said it had reached an annualized revenue run rate of $100 million and named Nvidia, legal AI firm Legora, and Korean AI lab Motif Technologies among its customers, alongside work with what it described as many of the biggest AI labs.

AfterQuery is part of a wave of startups, following Mercor and Scale AI, that hire doctors, lawyers and other specialists to help train AI models. Rather than focusing on getting models to answer questions accurately, AfterQuery says it trains models and agents on how professionals actually work through tasks, describing this as "encoding the patterns, decisions, and reasoning of the world's best practitioners."

Key facts

  • AfterQuery reportedly raised a round valuing it at $3.2 billion, first reported by Forbes; TechCrunch says it could not reach the company for comment.
  • The new valuation is more than 10x the $300 million mark set at its $30 million Series A just five months earlier, in April.
  • Y Combinator partner Gustaf Alstromer called it the fastest launch-to-unicorn run in the accelerator's history; the founders are 22 and 23, 18 months out of YC's Winter 2025 cohort.
  • In April AfterQuery reported a $100 million annualized revenue run rate and named Nvidia, Legora, and Motif Technologies as customers.
  • AfterQuery trains AI models and agents on how professionals work through tasks, rather than only on answering questions accurately, following the path set by Mercor and Scale AI.

Why it matters

AfterQuery's reported jump from a $300 million to a $3.2 billion valuation in under half a year would be an unusually fast run even by the standards of the current AI funding boom. It underscores how much investor appetite there is for companies that supply the specialist human labor AI labs need to keep improving their models, following the trail already cut by Mercor and Scale AI.

Who it affects

AI labs and companies building agents that need domain-expert training data are the direct customers; AfterQuery has named Nvidia, legal AI firm Legora, and Korean AI lab Motif Technologies among them. The knowledge professionals, such as doctors and lawyers, whom AfterQuery and similar startups hire to generate training data are also affected as this model of contract work grows. Investors and rival data-labeling startups will read the round as a signal of how much capital keeps flowing into the sector.

How to use it

AfterQuery does not sell a consumer product. It works directly with AI labs and companies, hiring specialists to demonstrate how professionals reason through tasks so that models and agents can be trained on those patterns. A company interested in this kind of training data would need to approach AfterQuery directly; no public pricing or licensing terms appear in the report.

How solid is it

The $3.2 billion figure is reported, not confirmed: TechCrunch attributes it to a Forbes report and says AfterQuery could not be immediately reached for comment. The $30 million Series A, its $300 million valuation, and the $100 million annualized revenue run rate were previously stated by the company itself in April. No lead investor or list of investors is named for either round.

Risks and caveats

The new round has not been independently verified by TechCrunch, and the source gives no exact date for it, no round name or structure, no investor names, and no figures for AfterQuery's headcount or total funding to date. It is also unclear whether the $100 million annualized revenue figure from April still holds today.

“encoding the patterns, decisions, and reasoning of the world's best practitioners”

— AfterQuery