AfterQuery is an applied research lab founded in 2024 and based in San Francisco. The company specialises in building data solutions for frontier foundation model development, positioning itself at the intersection of data engineering and AI research. Its core mission centres on capturing tacit knowledge from expert reasoning, operating on the principle that models trained on reasoning processes outperform those trained on outputs alone.
The company's technical domains span chain-of-thought reasoning, reinforcement learning, agent environments, and computer use trajectories. Its product offerings include supervised fine-tuning data with chain-of-thought reasoning traces, reinforcement learning data paired with expert-designed rubrics, agent environments for API and tool interactions, and trajectories across browser and desktop environments. These are designed to support the training and evaluation needs of large-scale AI models.
AfterQuery reports an annual revenue run rate surpassing $100 million and states it serves every frontier AI lab. The company raised $30 million in a Series A funding round. Despite its recent founding, it has established itself as a significant supplier in the foundation model development ecosystem.
