Secure AI Development
Accelerate AI/ML development by >31% for
security-conscious teams
Jozu Hub is a secure, on-premises, model registry that works with the tools you already trust, bringing enterprise-grade security and compliance to your AI development lifecycle.
Take Control of Your AI Model Supply Chain
With over 1 million models available on Hugging Face, do you know which ones your developers are using?
In today's rapidly evolving AI landscape, security-conscious organizations face significant challenges:
-
Security issues from using models
with unknown provenance or
security issues - Compliance risks from a lack of change tracking and developers who use models with restrictive licenses
- Integration delays when moving from development tools to strict production environments
- Deployment complexity across mixed CPU and GPU serving environments
Jozu Hub transforms this into a governed, secure process—solving these problems while keeping your models and data private and preventing employees from using unverified public models.
How it works
Without Jozu
- Model
Training
- Model
Evaluation - Model
Validation - Inference
Container - Inference
Verification
Inference
With Jozu
- Model
Training
- Model is evaluated
- Model is validated
- Inference container is packaged
- Inference container is verified
- Model is security scanned
Inference
KEY FEATURES
Private Model Registry
Control what models enter your organization. Jozu Hub provides a curated catalog with security scanning and approval workflows, whether you're importing from Hugging Face or managing internally-trained models.
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Curated enterprise catalogImport, scan, and approve models and datasets for your organization
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Tamper-proof storageJozu's immutable packages ensure model and dataset provenance, and create a clear audit trail
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End-to-end provenanceTrack production deployments to the exact training data, code versions, and configurations that created the model
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Dependency managementCapture all requirements for reproducible deployments
Security & Governance
Prevent vulnerable or compromised models from reaching production. Jozu Hub scans for security risks, license violations, and policy compliance before deployment.
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Security scanningDetect vulnerabilities in models, datasets, and dependencies
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Policy-based scanningQuick scans during development; comprehensive scans before production
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Policy enforcementBlock deployment when security thresholds aren't met or human-in-the-loop approvals are missing
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Audit-ready lineageComplete chain of custody from training data and code to production deployment, with immutable records of every change
Inference Microservices
Move projects to production faster. Jozu’s Ready-to-deploy inference containers speed and secure delivery with zero effort.
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Kubernetes optimizationDeploy directly to your existing Kubernetes clusters
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Production readinessPre-configured for security, monitoring, and scaling
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Multi-environment supportConsistent deployment across development, testing, and production
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Optimized DeliverySpeed deployments to Kubernetes CPUs/GPUs by up to 10x
Integrate With Your
Existing Toolchain
Jozu works seamlessly with the tools you already use:
Key benefits
-
41% faster to production
Save days or weeks while increasing security
-
Enhanced security posture
Significantly fewer security warnings with comprehensive scanning
-
EU AI Act compliance
Automatic model signing, versioning, and auditing built-in
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No tool duplication
Integrates with existing DevOps pipelines instead of replacing them
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Future-proof architecture
Built for the next generation of AI applications including RAG and AI agents
Built on Open Standards
Jozu is built around KitOps, the popular open source packaging and versioning standard for AI/ML projects. When a model is imported to Jozu Hub, it is packaged as a ModelKit—the only comprehensive AI/ML packaging based on OCI standards.
Unlike proprietary solutions that lock you into their ecosystem, Jozu embraces open standards:
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Avoid vendor lock-inOCI-compatible packaging works with your existing infrastructure
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Community-drivenBenefit from continuous innovation with reputable foundation backing
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Flexible integrationCompatible with any tool that accepts standard container types
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Open source foundationBuilt on the principles of transparency and collaboration
Getting Started
with Jozu
On-Premises
-
Request a Demo
See Jozu in action with your specific use case
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Deployment Planning
Our team works with you to plan your implementation
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Installation
Quick setup in your Kubernetes environment
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Integration
Connect with your existing tools and workflows
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Training
Get your team up to speed with our comprehensive resources
Sandbox
Test out a limited-feature hosted Jozu Hub
- Free for open source and personal projects
- Unlimited public repositories
- 1 private repository
- Use with Docker or Kubernetes
- Import from Hugging Face
- 250 GB of storage
- Community support via Discord
Enterprise
Self-hosted on-prem or in private cloud
- Ready for Enterprise scale
- Custom security scanning & policies
- Deploy models anywhere
- Signed, centralized audit log
- Unlimited repositories & storage
- Use your own registry & RBAC
- Email and Slack support
Support Services
Production-ready support for KitOps and ModelPack
- Use open source in production with confidence
- 24/7 priority support
- 4-hour response SLA
- Hot fixes & emergency patches
- Quarterly health checks
- Governance Maturity Report
- Model Risk Audit
Ready to secure your AI
development pipeline?
Jozu Hub On-Premises helps security-conscious enterprises move AI projects to production faster while maintaining enterprise standards for security and compliance.
Jozu Hub On-Premises is available for installation now. Suitable for financial services, healthcare, government agencies, and other security-sensitive organizations.
