AfterQuery reportedly hits $3.2B valuation, becoming Y Combinator’s fastest-ever unicorn
Tech Funding News Abhinaya Prabhu ● Covered by 2 sources
AfterQuery reportedly hit a $3.2B valuation, up from $300M in five months. YC says that’s its fastest-ever sprint to unicorn status.
Based on reporting by Tech Funding News, Abhinaya Prabhu — read the original for the full story.
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AfterQuery has reportedly closed a Series B at a $3.2 billion valuation, according to Forbes. That’s a sharp jump from the $300 million mark it was given when it announced a $30 million Series A in April. Five months later, the company is said to be worth more than 10 times as much, and Y Combinator partner Gustaf Alströmer calls it the accelerator’s fastest run from launch to unicorn status.
The San Francisco startup is also reportedly profitable and already has a lead investor lined up for the round, though it declined to comment. Founded in 2025 by high school friends Spencer Mateega and Carlos Georgescu, AfterQuery joined Y Combinator’s Winter 2025 batch when the founders were 23 and 22. They had spent 18 months in YC by the time this latest valuation surfaced.
The company didn’t start out as a data shop. Mateega and Georgescu first built AI agents for financial workflows, then ran into a more basic problem: existing models kept stumbling on messy professional tasks. The issue, they decided, wasn’t raw reasoning. It was training. So AfterQuery shifted to paying experts in software engineering, finance, law and medicine to show how they work through hard problems, then packaging that into datasets and reinforcement-learning environments for AI labs.
That pitch seems to be landing because the easy internet data is getting used up. AfterQuery says its customers include Nvidia, Legora and Motif Technologies, and its data has been used in Nvidia’s Nemotron models. It has also worked with Thinking Machines Lab, founded by former OpenAI chief technology officer Mira Murati. The company said it had crossed $100 million in annualised revenue in April, and Mateega later posted that revenue had reached “hundreds of millions.”
AfterQuery is not alone. Mercor and Deccan AI are also selling expert-heavy data and evaluation work, which says a lot about where AI spending is going: away from cheap scraps of the web and toward expensive human judgment. That is great for the people being paid to explain their craft, and less charming for anyone who assumed the internet was an endless free buffet.
My take — AI-written commentary, not fact-checked reporting
This is the part of AI that never gets the glossy keynote treatment: the bill for human expertise. When models run out of web sludge, the industry does what it always does and starts buying the real thing, preferably in a hurry. The funny part is that “post-training” now sounds almost quaint for a business that may be turning expert knowledge into one of the priciest commodities in AI.
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