AfterQuery

ceo @afterquery. prev statistics + finance + cs @ wharton / penn, @silverlake_news, @google, @morganstanley, @meta

AfterQuery is an applied research lab that builds expert-generated training data and reinforcement learning environments for the AI labs developing frontier models. Its customers are frontier model labs and enterprises that need models to handle specialized professional work in domains like medicine, law, finance, and coding , with datasets and benchmarks designed to capture how practitioners actually reason through problems rather than just produce surface answers. The launch marks AfterQuery's $30 million Series A at a $300 million valuation, with Altos Ventures leading and The Raine Group joining existing investors Y Combinator and BoxGroup . The company was founded in January 2025 by Spencer Mateega and Carlos Georgescu , with Mateega (previously at Google, Morgan Stanley, Meta, and Silver Lake) serving as CEO. The pitch behind the round is that as labs exhaust generic web data, the next gains come from encoding the judgment of working professionals into training and eval pipelines. What this announcement signals for operators and investors is a bet on expert data as the bottleneck for vertical AI. AfterQuery is positioning itself for workflows where verified professionals structure prompts, grading rubrics, and chain-of-thought traces that downstream models can be tuned and benchmarked against, with the Series A funding hiring across engineering, operations, and research as the team scales coverage across professional verticals.

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