AI Infrastructure & MLOps Enterprise Only

Osmosis

Forward-deployed reinforcement learning for task-specific production AI models

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PricingEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentHybrid
Last verifiedJuly 30, 2026
Overview

Tool overview

Osmosis is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Osmosis?

Osmosis is a post-training platform for creating task-specific models with reinforcement learning. It supports hands-on deployments, GRPO and DAPO, multi-turn tool training, automated sweeps, continuous retraining, single-tenant serving, and customer-controlled deployment.

Best fit

Best for

AI engineering teams training specialized models and tool-using agents

Audience

Who is it for?

Machine-learning engineersAI research teamsAgent developersEnterprise AI platforms
Recommendation

Decision note

Suitable for evaluation after confirming final commercial terms, permissions, data handling, current product scope, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

GRPO and DAPO reinforcement fine-tuning

Multi-turn tool-use training for agents

Automated evaluation and hyperparameter sweeps

Single-tenant serving and exportable weights

On-premises and VPC platform deployment

Workflows

Use cases

Train domain-specific extraction models

Improve tool-using AI agents

Fine-tune specialized coding models

Continuously retrain from evaluation signals

Strengths

Pros

  • Covers the full post-training workflow
  • Supports flexible ownership and deployment of weights
  • Includes an open-source SDK and agent-framework integrations
Considerations

Cons

  • Pricing requires direct enterprise scoping
  • Reward and grader design demand expert review
Considerations

Limitations

Reinforcement learning can optimize the wrong behavior when datasets, graders, or rewards are incomplete. Validate data rights, reward robustness, evaluation coverage, model regressions, tool permissions, compute costs, and deployment safety before production promotion.

Cost

Pricing details

Pricing modelEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
Pricing context

Billing options

Custom enterprise agreementTraining and serving computeDeployment scope
Pricing context

Pricing note

Osmosis provides forward-deployed enterprise training and infrastructure and publishes no stable self-service amount. Both compact pricing fields use Contact sales. No ongoing Free Plan or public self-service Free Trial is advertised.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

GitHub

MCP

Strands Agents

OpenAI Agents SDK

Custom Python harnesses

Evaluation systems

Specs

Technical details

PlatformsAPI, Web
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentHybrid
CompanyGulp AI Inc.
Launch year2024
Models / versionsReinforcement fine-tuning GRPO DAPO Multi-turn tool training osmosis-ai SDK
Editions / plansFree, Basic, Professional, Organization, and Custom plans
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Release notes → Data source →
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Answers

Frequently asked questions

Osmosis is a post-training platform for creating task-specific models with reinforcement learning. It supports hands-on deployments, GRPO and DAPO, multi-turn tool training, automated sweeps, continuous retraining, single-tenant serving, and customer-controlled deployment.
AI engineering teams training specialized models and tool-using agents
The listed pricing model for Osmosis is Enterprise only. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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