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See Jozu in action

Tell us what you're building and we'll show you where Jozu fits — governing the AI your teams already use, and packaging the models you ship. Press, product feedback, and general questions land here too.

Agent Guard — Policy Gateway

Every prompt and tool call bound for an AI service passes through the policy engine, which redacts or blocks sensitive data before it leaves the machine.

Agent Guard — Agent Enclave

Run a coding agent inside a microVM with the policy engine in it. An agent definition declares the tools and files that go in; a rogue agent can only reach what is inside.

Jozu Hub & KitOps

Package models, datasets, and code as signed OCI ModelKits — scanned, versioned, and deployable to your own Kubernetes, on-prem or air-gapped.

We're building a vendor-agnostic MLOps platform and KitOps ModelKits align perfectly with that vision. They work wherever our containers do — on-prem or in the cloud — giving us the freedom to store and deploy ML artifacts without being tied to a specific infrastructure.

Tomasz Bochenski
Lead Machine Learning Platform Engineer, MLOps
DSV

Let's talk.

Submit the form and our team will be in touch within one business day.

Jozu governs the AI your teams already use

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