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Polymath develops frontier environments specifically designed for training and evaluating AI agents. These environments support complex, long-horizon tasks requiring interaction with multiple software tools. The platform provides the necessary infrastructure, including tools, data seeding, task definitions, and performance verifiers, to benchmark agent capabilities across diverse domains.
Updated 2 months ago
Funding
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Product
Features
- Polymath builds high-fidelity, long-horizon Reinforcement Learning (RL) environments simulating production software engineering workflows. These environments enable the training and evaluation of AI coding agents across complex, multi-tool tasks spanning the full software development lifecycle. The platform focuses on delivering realism and scale to improve the autonomy and reliability of agentic software engineering outside the IDE.