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Applied research lab curating data solutions for foundation model…
AfterQuery is an applied research lab curating data solutions for frontier foundation model development. Serving every frontier AI lab.
AfterQuery is an applied research lab that curates data solutions to accelerate foundation model development. It focuses on building datasets and training data techniques that improve models by modeling expert reasoning and real-world workflows.
The product builds datasets that reflect how experts solve problems, including high-quality prompt–response pairs, chain-of-thought reasoning traces, and reinforcement learning rubrics. It offers expert-designed prompts with grading frameworks, agent environments across APIs/tools/services for training and evaluation in real workflows, and human-demonstrated trajectories across browser and desktop use to teach models to navigate software end-to-end.
Who it’s for: Enterprises and AI researchers needing domain-specific, expert-curated training data to improve foundation models and agent performance across real-world tasks.
Hiring for engineering, operations, and research roles; mentions of funding (Series A) and growing revenue runway
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.
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 “Cronus” · why startups rename →

Autonomous AI research

Training Data for Recursive Self-Improvement