
AfterQuery
ActiveApplied research lab curating data solutions for foundation modelβ¦
About
AfterQuery is an applied research lab curating data solutions for frontier foundation model development. Serving every frontier AI lab.
Founders Β· 2
Building AfterQuery. Previously interned at Citadel Securities (2x), Meta & Google as a software engineer. Past acquired ed-tech founder. Studied for a B.S. in Computer Science from the University of British Columbia.
Building AfterQuery. Previously interned in technology private equity at Silver Lake, technology investment banking at Morgan Stanley, and software engineering at Meta and Google. Built and sold a startup with Danny, in high school. Studied for a B.S. in Finance and Statistics at Wharton and a M.S. Computer Science at Penn.
Launch
Powering AI models with expert-level human data
AfterQuery provides high-quality, expert-created training data for AI models, focusing on post-training/fine-tuning data, RLHF data, and custom benchmarks. The platform assembles professionals to produce datasets on demand for domains like finance, law, and enterprise software, aiming to improve model usefulness and accuracy for specialized tasks.
Formerly βCronusβ
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