Osmosis
Train task-specific AI models that outperform foundation models at a fraction of the cost
Osmosis is a forward-deployed reinforcement learning platform that helps companies build and fine-tune task-specific AI models using cutting-edge RL techniques like GRPO and DAPO. It supports the full post-training workflow—from feature engineering and reward function creation to model serving and continuous retraining. The platform targets use cases such as document extraction, AI agent training, and domain-specific code generation.
Osmosis works directly with customers to handle the entire post-training workflow, applying reinforcement learning techniques to train task-specific models and automating continuous retraining using real-time production data
Engineering teams at companies looking to train specialized AI models that outperform general-purpose foundation models
Background.
- Status
- launched
- Business model
- unknown
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