Osmosis AI
Osmosis, founded in 2024 and based in San Francisco, is a company that enables AI self-improvement through real-time reinforcement learning. Their platform allows AI agents to learn from experience at production scale, addressing a critical gap in deploying productive AI systems. Backed by Y Combinator and led by experienced founders, Osmosis focuses on real-time machine learning to improve AI agent performance, particularly in structured output tasks. The company operates on a subscription model and serves customers who require advanced AI reinforcement learning capabilities. Osmosis emphasizes data privacy and security, complying with global data protection laws, and uses advanced encryption and access controls. Their technology stack includes real-time reinforcement learning and AI agent training, positioning them as a key player in AI self-improvement and machine learning infrastructure.
Osmosis AI
Osmosis, founded in 2024 and based in San Francisco, is a company that enables AI self-improvement through real-time reinforcement learning. Their platform allows AI agents to learn from experience at production scale, addressing a critical gap in deploying productive AI systems. Backed by Y Combinator and led by experienced founders, Osmosis focuses on real-time machine learning to improve AI agent performance, particularly in structured output tasks. The company operates on a subscription model and serves customers who require advanced AI reinforcement learning capabilities. Osmosis emphasizes data privacy and security, complying with global data protection laws, and uses advanced encryption and access controls. Their technology stack includes real-time reinforcement learning and AI agent training, positioning them as a key player in AI self-improvement and machine learning infrastructure.
TL;DR
Founded: 2024
Headquarters: San Francisco, CA
Product: Osmosis AI Python SDK and platform for real-time reinforcement learning and LLM evaluation
Recent funding: $500,000 Pre-Seed (Mar 12, 2025)
Company Overview
Problem Domain
Real-time reinforcement learning and evaluation infrastructure for AI agents and LLMs.
Founded
2024
Industry
Data and Analytics
Tech Stack
Funding Track Record
$500,000
Round includes participation from Y Combinator
Amount undisclosed
Investor Signal
“Backed by Y Combinator and investors including Pioneer Fund and Liquid 2 Ventures”