AfterQuery is an applied research lab, founded in 2024, that develops specialized data solutions for frontier foundation model development. Its work focuses on capturing expert reasoning, decisions, tradeoffs, and context to produce high-quality training data. The company is based in San Francisco and serves clients in the AI labs and foundation model development sectors.
The company's products include supervised fine-tuning datasets with chain-of-thought reasoning traces, reinforcement learning datasets featuring expert-designed rubrics, agent environments for training on API and tool interactions, and datasets of computer use trajectories across browser and desktop interfaces. Its technical domains span applied research, data engineering, supervised fine-tuning, reinforcement learning, agent environments, and chain-of-thought reasoning traces.
In 2024, AfterQuery secured $30 million in Series A funding. The company has reported an annual revenue run rate surpassing $100 million and a valuation of $300 million.
