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Osmosis

Hiring

Osmosis is a YC Winter 2025 (W25) company. Team of 6.

About Osmosis

GPAgent's own fund-neutral profile, written from public information. Updated Oct 5, 2026.

Summary

Osmosis builds a forward-deployed reinforcement learning platform that fine-tunes open-source models for specific enterprise tasks, replacing the need for companies to use general-purpose foundation models. Engineering teams use it to train task-specific models for document extraction, AI agent tool use, and code generation, with Osmosis handling the full post-training workflow from reward function design to model serving. The platform monitors production performance and triggers automated retraining runs, keeping models current without manual intervention.

Business model

Omitted: pricing structure not disclosed in sources.

Go-to-market

B2B, sales-led: companies book a demo and Osmosis works hands-on with their engineering teams throughout deployment.

From the Y Combinator listing

How Osmosis describes itself in Y Combinator's public directory. Original listing (opens in a new tab)

Reinforcement Learning for AI Agents

Osmosis helps companies use reinforcement learning to fine-tune open source models that outperform foundation models.

Facts

Industry
B2B / B2B
Team size
6
Status
Active
Stage
Early

Founders (2)

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