AfterQuery
Applied research lab for foundation model data
About
AfterQuery is an applied research lab founded in 2024 by Carlos Georgescu and Spencer Mateega in San Francisco, curating advanced data solutions specifically for foundation models. The company operates a specialized platform that autonomously executes AI-driven data transformation, labeling, and synthesis tasks to enhance the capabilities of large language and foundation models. Their business model focuses on providing AI-led data infrastructure and tools that optimize the training and performance of foundation AI systems across industries. With approximately 30 employees, AfterQuery has attracted $30.5 million in total funding led by prominent investors including Altos Ventures, BoxGroup, The Raine Group, and Y Combinator.
Products
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Supervised Fine-Tuning
— High-quality prompt-response pairs and chain-of-thought reasoning to teach models how to behave across complex tasks.
Customer sectors: AI researchers, enterprises, machine learning engineers
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Reinforcement Learning with Rubrics
— Expert-designed prompts with grading frameworks turning subjective judgment into scalable reward signals for reasoning and code generation.
Customer sectors: AI researchers, enterprises, machine learning engineers
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Agent Environments
— Custom environments integrating APIs, tools, and services to enable training and evaluation of agents in real workflows.
Customer sectors: AI researchers, enterprise software, automation engineers
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Computer Use Trajectories
— Human-demonstrated interactions across browser and desktop environments teaching models to navigate and operate software end-to-end.
Customer sectors: enterprise software, automation engineers, AI researchers
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for AfterQuery — available to members.
