Package, share, and deploy ML like all the other code
Handing off ML models is hard,
Jozu makes it easy
The MLOps collaboration platform to unite AI/ML and app development teams with shared tools and processes.
Sign up for the early releaseAUTOMATE THE PACKAGING, TRACKING, AND DEPLOYMENT OF ML MODELS
Get from Notebooks to production-ready models fast
ML applications require ongoing hand-offs and collaboration between ML engineers and application development teams. At training, verification, deployment, and monitoring.
Until now, this required both teams to learn discipline-specific tools.
Jozu eliminates this need by connecting both teams to a single platform for managing the operational and development lifecycle, while still using their tools of choice.
DevOps teams love Jozu
DevOps tools weren’t made for Jupyter Notebooks, and Notebooks weren’t made for your tools. Jozu bridges this gap, allowing both teams to use the tools they require.
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Package
Keep teams aligned through the models lifecycle by labeling packages, and ensure assets are signed, secure, and tracked.
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Deploy
Automate deployment through your preferred container or Kubernetes tools, integrated with your existing CI/CD pipeline.
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Notify
Trigger CI/CD pipelines in your favorite tools based on project state changes, and alert teams to asset updates and changes when they happen.
How does Jozu work?
Built on open source projects, Jozu is a platform for storing, tracking, collaborating on, and deploying LLM and AI/ML projects.
- Collect & Process data
- Train
- Package
- Validate
- Deploy
- Operate
After packaging your ML models into an OCI-compliant file, Jozu becomes the bridge between the model development lifecycle, and the ongoing management and development of the application.
Jozu works with the tools your team already loves
We’re built on open standards so we work with the tools you depend on today.
An open initiative to unite AI/ML and DevOps teams
The AI/ML space is evolving daily, requiring ongoing innovation from the tools that support its development. At Jozu, we believe that the best solutions come from gathering diverse perspectives to engage in open collaboration. An outcome that open source is uniquely designed to foster.
To support this effort, we are contributing to open source KitOps, which includes Kit CLI and ModelKit files, so ML and DevOps teams can work in a more collaborative way. We’re committed to working alongside the community to make continued investments into KitOps and building a roadmap that meets the needs of individual and enterprise development teams.