The DevOps platform for
AI agents, applications,
and models
Curate, track, audit, share, and optimize a catalogue of
security-scanned models, from development to production.
Trending models
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qwen2-7b
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qwen2-0.5b
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llama3-8b
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mixtral-8x7b
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llama3-70b
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llama3.1-8b
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mistral_v0.1-7b
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mistral_v0.3-7b
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gemma-7b
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phi3
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snowflake-arctic-embed
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falcon-7b
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Your ML development lifecycle, faster and more secure
Accelerate deployments by 10x
With AI agents and composite AI applications, deployments are getting larger and more complex. Jozu can speed deployments by 3x - 10x. This can mean days or even weeks of savings over the course of a development project.
Establish enterprise-grade security
Traditional MLOps tools fall short of enterprise security requirements. Jozu provides comprehensive security controls including tamper-proof storage and deployment, attestations, and detailed audit trails - all while keeping your data and models on-premises.
Manage and deploy through existing pipelines
Managing AI projects across multiple teams and environments creates a maze of tools, permissions, and requirements. Jozu provides a unified orchestration layer that centralizes control while giving teams the flexibility to use their preferred development tools.
Curate a list of trusted models
There are over 1-million models on Hugging Face, are the ones your developers are using safe? Jozu was created for security-conscious organizations that want to innovate with AI, without exposing their team to potential threats or restrictive licensing.
Track your projects exact history
Between model versions, datasets, and configurations your models have a complex history, one that new regulations demand are stored for years. Jozu gives you visibility into your project's versioning by exposing valuable ModelKit meta data.
Optimize for Kubernetes environments
Difficulty replicating model behavior outside of niche development tools is a common challenge for AI teams. Jozu streamlines deployment to Kubernetes environments with pre-configured inference microservices that maintain consistent model behavior across environments.
Jozu Hub On-Premises
Jozu Hub: AI
Model Registry
- Centralized, secure model management
- Automated vulnerability scanning
- Support for all major AI model formats
- Built-in compliance reporting
Jozu Rapid
Inference
Containers
- Optimized inference containers
- 5 - 10x faster deployments
- Tamper-proof deployments
- Works with all Kubernetes versions
Jozu model
scanning
and auditing
- Scan for Model Serialization Attacks
- Track changes in permissions and ownership
- See results of updated security scan
- Download audit log for compliance checks
KEY METRICS
Deploy faster and more securely
INTEGRATION
Jozu works with the tools your team
already loves
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.
KitOps simplifies AI project complexity by packaging your projects dependencies in a single versioned and tamperproof, ModelKit.
