Build the capabilities your model needs.

Expert rubrics and automated checks for task completion, reasoning, and domain requirements.

RL environments built around APIs, MCP servers, and developer tools, with expert examples of tool use and error recovery.

High-quality tasks and expert-written responses for reasoning, instruction following, computer use, and professional knowledge.

Desktop and browser tasks with expert trajectories for navigation, form completion, document handling, and multi-step workflows.

Expert reviews of agent traces that locate errors and specify the next action needed to recover.

Expert comparisons of model responses, with written reasons for preferences and task-specific review criteria.

Expert-written code, tests, and debugging traces for repository tasks, edge cases, and engineering workflows.

Practitioner-created tasks and review criteria for medicine, law, finance, engineering, and other professional fields.

Research tasks for gathering evidence, comparing sources, and producing analysis with verifiable citations.

Custom evaluations and failure analysis that show which tasks, workflow steps, and domain requirements need improvement.

Training and evaluation tasks across image, audio, video, and text, with source-grounded expert review.

Native-language tasks and review for grammar, idiom, cultural context, and professional usage.

Existing datasets for tool use, knowledge work, multimodal reasoning, browser tasks, and human preference.