Deploy AI models 10x faster
with enterprise-grade security.
The on-prem Kubernetes platform for teams that need tamper-proof model deployment, automated security scanning, and full audit trails — without slowing down development.
Free proof-of-value · Deploys on your existing Kubernetes cluster
Jozu deployment vs. standard deployment
Deployment
Deployment
Deployment
Llama 7B model in Amazon EKS
AI deployments are getting larger and more complex. With composite applications, agents, and multi-model pipelines, a single deployment can take minutes — or hours. Jozu's pre-configured inference containers and OCI-native packaging cut that to seconds, saving days or weeks over a development cycle.
Speed, security, and control — without compromise
Enterprise-grade security, built in
Tamper-proof storage and deployment, automated vulnerability scanning, attestations, and detailed audit trails. Your models and data stay on-premises. Supports Llama, Mistral, Phi, Qwen, and every major model format.
Deploy through your existing pipelines
Jozu works with your existing CI/CD and Kubernetes tooling — not instead of it. A unified orchestration layer that centralizes policy control while your teams keep using their preferred development tools.
Full versioning and audit history
Every model version, dataset, and configuration tracked and stored — with the compliance-ready audit logs that new AI regulations demand. Complete visibility into your project's lineage through ModelKit metadata.
Integrates with the tools your
team already love.
Jozu integrates with the tools your DevOps team already knows and trusts.
-
Kubernetes Distributions
Jozu works with all distributions:- Amazon EKS
- Azure AKS
- Google GKE
- Red Hat OpenShift
- VMware Tanzu
- Rancher RKE
- And many more...
-
Container Registries
Jozu works with all OCI registries:- JFrog Artifactory
- Sonatype Nexus
- Harbor
- Amazon ECR
- GitLab Registry
- Docker Hub
- Any OCI 1.1 registry
-
CI/CD & MLOps Tools
Jozu works with all major pipelines:- Jenkins
- GitLab CI
- GitHub Actions
- MLflow
- Kubeflow
- Databricks
- And 50+ more...
From model to production in three steps
Import and scan
Pull models from Hugging Face, your internal registry, or any OCI-compatible source. Jozu automatically scans for serialization attacks, licensing risks, and known vulnerabilities.
Package and version
Bundle your model, datasets, and configuration into a signed ModelKit with full provenance tracking. Every change is versioned and auditable.
Deploy to Kubernetes
Generate optimized inference containers and deploy to any Kubernetes environment — EKS, GKE, on-prem, or air-gapped — with one command. Tamper-proof from registry to runtime.
Ready to try Jozu in your environment?
Our engineering team will set up a hands-on walkthrough tailored to your ML pipeline and show you exactly how Jozu fits into your existing workflow.
We'll reach out within one business day. No automated sequences — you'll hear from an actual engineer on our team.