Topify Data

Define the frontier. Move intelligence forward.

Executable training and evaluation data for agents and multimodal systems, designed around realistic tasks and verifiable outcomes.

Data categories

Data for real-world capabilities.

Data spanning agentic coding, automated research, computer use, multimodal learning, and embodied AI.

Repository-backed tasks for software-engineering agents, with executable tests, environment state, and patch-level evaluation.

Kernel-optimization environments with correctness gates and latency and memory objectives for systems research.

Stateful cross-application workflows evaluated through artifact validity, evidence traceability, and rubric-based completion.

Persistent workspaces with multi-stage dependencies, tool use, failure recovery, and end-state verification.

Rights-scoped audiovisual and image-transformation data for representation learning, perception, and generation.

Synchronized egocentric video, pose, and motion data for action understanding, visuomotor learning, and world-model research.

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