Forward-deployed reinforcement learning platform that builds task-specific models outperforming foundation models at lower cost and latency.
Osmosis is a post-training platform that works directly with companies to fine-tune language models using RL techniques such as GRPO and DAPO, handling feature engineering, reward function design, compute orchestration, and training run observability. It supports multi-turn tool training and integrates with customer evaluation systems to automatically trigger retraining without requiring engineer intervention, including with real-time data as frequently as every hour. Use cases include domain-specific extraction models, AI agents trained on production tools, and specialized coding models for domain-specific languages and front-end components. Osmosis is a product of Osmosis.