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Forest AI develops an open-source protocol and tooling that enable AI projects to be deployed, evaluated, and funded within a shared ecosystem. The platform structures continuous, rolling funding linked to measured model performance, inviting contributors to submit models through documented workflows. Public materials reference the Forest AI stack and the Trepa beta program, which use wallet-based participation for contributions and rewards. Offerings include deployment guidance, evaluation pipelines, scoreboards, and process documentation for integrating models and datasets. Code repositories and specifications describe how to run experiments, report results, and take part in governance around funding allocation.