Osmosis
ActiveReinforcement Learning (RL) for AI Agents
About
Osmosis is a post-training platform that helps companies fine-tune language models using reinforcement learning. We work with fast-growing AI companies to train task/domain-specific models that beat foundation models on performance, cost, and latency. Our platform handles compute orchestration, reward modeling, and training run observability as a CLI-based product usable by developers and agents.
Founders · 2
Defining how real time systems should be built. Previously worked on data architecture and ecosystem at TikTok recommendations as the 5th and youngest US hire
Launch
Osmosis gives AI agents the ability to learn like DeepSeek R1, all in real-time
Osmosis provides a framework for AI agents to learn in real-time from their tasks by maintaining a library of past interactions, querying for relevant scenarios, and recommending action plans. It targets AI developers seeking improved accuracy, speed, and cost efficiency, demonstrating faster performance and fewer steps than baselines in real-time learning.
Formerly “Gulp”
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Reinforcement learning as a service
Open-Source Reinforcement Learning (RL) & Fine-tuning for LLMs.
