Request early access for Crusoe Managed RL
Teach frontier open models to master complex domain-specific tasks, without the infrastructure setup. Now in private preview.
Crusoe Managed Reinforcement Learning (RL) lets you fine-tune open models using iterative feedback and specific reward criteria. You choose the model and control the data, the scoring, and the loop. We handle everything underneath. No GPU orchestration, weight syncing, or infrastructure rollout needed.
Python SDK with Tinker-compatible API
Open-source RL recipes for fast iteration
No lock-in: keep your code, your data, and your tuned model
Free during private preview, usage-based billing at GA