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Reinforcement learning as a service
RunRL improves LLMs and AI agents with reinforcement learning. Do you have a model that needs to get better at a certain task? Are you tired of messing around with prompts? Do you spend a lot of money on observability, and wish that all this data could let your model self-improve? Well, head on over to RunRL.com, and see what we have to offer! If you give us a model, a prompt, and a reward, we’ll make your model’s reward go up.
Make AIs that know how to do their jobs
RunRL provides a platform to apply reinforcement learning fine-tuning to AI models, allowing users to improve model performance by supplying a reward function that defines what is “better.” It targets generative models and agent-based systems to increase reliability, task adherence, and rule-following in production contexts.
Reinforcement Learning (RL) for AI Agents
Reasoning Fine-Tuning
