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RunRL

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Reinforcement learning as a service

Spring 2025Founded 20252 peopleSan Francisco, CA, USA

About

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.

Founders · 1

Andrew Gritsevskiy
Andrew GritsevskiyFounder

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Launch

Launched on Y Combinator · May 2025
View launch post ↗

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.

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