Osmosis (osmosis.ai) is a technology company focused on accelerating the self-improvement of artificial intelligence agents through real-time reinforcement learning. Their core offering enables AI systems to learn from experience, training agents 10X-50X faster and reducing operational costs, which supports scalable deployment of productive AI agents.
The platform is designed to address a key challenge in modern AI: giving agents the ability to adapt and improve based on real-world feedback. By implementing reinforcement learning in real time, Osmosis provides a solution that moves beyond static model training, making it possible for AI to evolve and optimize performance autonomously. This is especially valuable for organizations aiming to deploy AI agents that need to continuously learn in dynamic environments.
A recent example of their work includes using reinforcement learning to fine-tune a model for code merging tasks. This resulted in a smaller, faster model that can outperform larger foundation models for specific software engineering workflows, and is capable of running efficiently on local hardware. Their model, "Osmosis-Apply-1.7B," is available for use via MCP server and can be downloaded on platforms like Ollama and Hugging Face.
How was Osmosis started?
Osmosis was founded in 2024 by Kasey and Andy in San Francisco. Kasey is a repeat founder with experience in building and exiting startups, while Andy (Baiqing L.) served as the youngest tech lead at TikTok and is Co-Founder & CTO at Gulp (YC W25). Their combined expertise in AI, engineering, and entrepreneurship shapes the company's vision for self-improving AI.
Who uses Osmosis?
While specific customer names have not been disclosed, Osmosis targets organizations and teams building or deploying AI agents that require rapid, cost-effective self-improvement. This includes companies in AI research, software development, and any sector where adaptive AI agents can drive automation and productivity.
What differentiates Osmosis?
Osmosis stands out by focusing on real-time reinforcement learning to enable AI self-improvement at scale. Their technology addresses the "missing piece" in deploying productive agents—providing the means for AI to continuously learn from experience, rather than relying solely on large, static foundation models.
Where is Osmosis based and how large is the team?
Osmosis (legal entity: Gulp AI Inc.) is headquartered in San Francisco, California, and operates with a small, focused team of 2-10 employees.
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