afterquery
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Aaron Jin Builds for the Moment After the Answer
At Apple, LinkedIn and now AfterQuery, the Stanford-trained engineer has kept returning to one stubborn question: how do you turn judgment into machinery that can be tested?
Ricky Raup Is Building for the Long Climb
A Penn-trained engineer moved from nonprofit software and financial data to the difficult edge of AI. The route makes more sense when you notice how often Ricky Raup chooses work, and weekends, with a steep grade.
Agustin Garcinuno Took the Long Route to Useful Data
From a redwood town to resale software, Wall Street and AI evaluation, his path keeps returning to the same practical question: does the thing actually work?
Alec Zhou Is Hiring for the Part of AI That Still Needs People
After a year building a recruiting agency, Zhou moved inside one of AI’s fast-growing data companies. His brief is simple to state and difficult to execute: find the people who can teach machines how real work gets done.
Parth Patel Is Building the Tests That Make AI Show Its Work
The AfterQuery founding engineer works where software meets judgment: turning real professional work into data, tests and environments that reveal what AI systems can actually do.
Will Tong Took the Long Way to the Right Question
He began with cells, crossed into code, and arrived at a harder engineering problem: how to teach machines the judgment that experts rarely write down.
Spencer Mateega
Spencer Mateega is the 23-year-old Co-Founder and CEO of AfterQuery, a San Francisco-based applied research lab that captures expert professional knowledge and converts it into high-quality training data for AI foundation models. Founded in January 2025 and backed by Y Combinator's Winter 2025 cohort, AfterQuery raised a $30 million Series A at a $300 million valuation in April 2026, with revenues exceeding $100 million annualized. Mateega's philosophy — 'We teach machines how experts think' — drives a platform connecting roughly 100,000 domain professionals in finance, legal, and software to frontier AI labs hungry for reasoning-rich data.