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AfterQuery is an applied research lab that curates data solutions to accelerate foundation model development. It focuses on turning expert thinking and real-world work into high-quality training data for AI models.
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AfterQuery operates as an applied research lab dedicated to advancing foundation model development by curating specialized data solutions. The company addresses the challenge of suboptimal data solutions in AI research by transforming expert knowledge and real-world decision-making into structured training data. AfterQuery's methodology involves capturing how experts think, including their reasoning, decisions, tradeoffs, and context, which is then used to build datasets. Their data offerings include Supervised Fine-Tuning (SFT) with prompt-response pairs and chain-of-thought reasoning, Reinforcement Learning with expert-designed prompts and grading frameworks, Agent Environments for training and evaluating agents in real workflows, and Computer Use Trajectories demonstrating human interactions with software. This approach aims to improve model performance beyond outputs, focusing on enabling models to learn from expert reasoning.
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Not publicly disclosed. Check afterquery.com for current pricing.
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