AfterQuery

Applied research lab curating data solutions to accelerate foundation model development.

About AfterQuery

Applied research lab curating data solutions to accelerate foundation model development.

Products

  • Combines expert-crafted rubrics with automated verifiers that grade model outputs, rewarding nuance and penalizing shortcuts across reasoning, code generation, and instruction-f...

  • Provides custom RL environments built on top of real APIs, MCP servers, and developer tools, enabling models to learn how to call, chain, and recover from errors across complex...

  • SFT

    Training Data & Labeling

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    Delivers high-quality prompt-response pairs and chain-of-thought demonstrations through supervised fine-tuning, giving models a foundation of skills before RL begins.

  • Pairs high-fidelity browser and desktop environments with expert-demonstrated trajectories, teaching agents to navigate interfaces, complete multi-step workflows, and operate so...

  • Code Generation

    Training Data & Labeling

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    Spans expert-written code, test cases, and debugging traces that teach models to write production-quality software, handle edge cases, and reason through architectural decisions.

  • RLHF

    Training Data & Labeling

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    Captures the subtleties of what makes one response genuinely better than another through RL from human feedback, training models to internalize the taste, judgment, and standard...

  • Professional Domains

    Training Data & Labeling

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    Draws on 100,000+ verified practitioners across medicine, law, finance, engineering, and more, capturing the tacit knowledge and real-world judgment that textbooks leave out.

  • Loss Analyses

    AI Evaluation & Observability

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    Identifies where and why models fail in professional contexts through systematic study, pinpointing the precise failure modes and distributional gaps that inform dataset and env...

  • Deep Research

    Training Data & Labeling

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    Covers long-horizon research tasks, teaching models to gather evidence across sources, synthesize findings, and produce thorough analyses.

  • Multimodal

    Training Data & Labeling

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    Teaches models to see, interpret, and reason across image, audio, video, and text together, closing the gap between how humans experience the world and how AI processes it.

  • Off-the-shelf Data

    Training Data & Labeling

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    Offers ready-to-deploy datasets across high-demand capability areas, giving labs and companies immediate access to rigorously validated training data.

  • Tailors evaluation suites and training datasets to specific capability targets, designing every prompt, rubric, and environment from scratch.

Security and compliance

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