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description= AfterQuery provides expert LLM training data, model evaluations, and reinforcement-learning environments for frontier models and AI agents.;
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expert llm training data for frontier ai afterquery closes 30m series a at 300m valuation afterquery closes 30m series a at 300m valuation and surpasses 100m revenue run rate read blog research blog leaderboards datasets for enterprises products careers get data research blog leaderboards datasets for enterprises products careers get data we teach machines how experts think the future of ai won t be trained on more data it will be trained on better thinking get data explore research backed by angels from powering every frontier ai research lab problem ai researchers and enterprises are hitting walls with suboptimal data solutions today s models can generate answers but they struggle with real work because real work isn t just outputs it s decisions tradeoffs and context that knowledge doesn t live on the internet it lives inside experts expertise has never been captured until now the most valuable knowledge isn t written down it exists in how professionals think not just answers but reasoning decisions tradeoffs and context we work with domain experts to capture that thinking then structure it into training data models can learn from our solution we turn real world work into training data afterquery is an applied research lab curating data solutions for frontier foundation model development models trained on outputs plateau models trained on reasoning improve we build datasets that reflect how experts actually solve problems step by step decision by decision our data includes supervised fine tuning sft high quality prompt response pairs and chain of thought reasoning traces teaching models how to behave across complex tasks reinforcement learning rubrics expert designed prompts with grading frameworks for reasoning and code generation turning subjective judgment into scalable reward signals agent environments api mcp custom environments across apis tools and services enabling training and evaluation of agents in real workflows computer use trajectories human demonstrated interactions across browser and desktop environments teaching models to navigate and operate software end to end research our approach starts with research where exactly do models break down in real professional contexts why do these failure modes exist we take a proactive stance every domain has its own failure patterns more research how afterquery helped nvidia hill climb gdpval nvidia publicly used afterquery s off the shelf office agent training dataset to improve nemotron 3 ultra on gdpval the only data vendor named in their technical report worth 11 4 gdpval points in their warmup ablation blog jul 2 2026 solving the last mile problem in partnership with the raine group encoding domain specific excellence into forms machines can learn so agents think and execute like real world experts blog apr 28 2026 how we improved terminal bench 2 0 scores by over 5x using tinker and harbor how expert curated trajectories and tooling lifted terminal bench 2 0 scores more than 5x and what it says about training agents blog mar 31 2026 careers we re hiring for engineering research and operations roles to help us accelerate ai training data solutions join the team revolutionizing ai research and training see open roles lab research blog leaderboards datasets knowledge company buy llm training data products for enterprises about careers campus ambassadors social linkedin x terms policies terms of service privacy policy afterquery 2026
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