Precision-engineered infrastructure for building, running, and benchmarking reinforcement learning environments. From tool-use agents to full coding environments.
Reach out at contact@datagym.inHigh-fidelity observation spaces and deterministic reward functions for rigorous policy evaluation.
Tool-use environments for agents learning to use APIs, web browsers, CLI tools, and file systems.
Coding environments with execution sandboxes, test suite verification, and multi-step debugging tasks.
Mathematical reasoning environments with step-by-step verifiers and formal proof checking.
Web navigation and form-filling environments with DOM-based observation spaces.
Multi-hop reasoning and planning environments with structured trajectory validation.
Every state, action, and reward is captured. Our verifiable RL data pipelines provide exact ground truth for multi-step reasoning models, moving beyond simple instruction tuning.
Quality scores across key RL data dimensions (0–100)
Access the highest quality reinforcement learning environments and trajectory data available.
Email us at contact@datagym.in