Enterprise Support for
KitOps & ModelPack
Production-ready support
from the creators and maintainers
of the industry's leading open source
AI/ML packaging standards
Projects we support
KitOps
CNCF Project | The Enterprise ModelPack Implementation
KitOps is built on the ModelPack standard and represents its most successful implementation with over 150,000+ downloads—making it the most downloaded ModelPack-compliant solution. KitOps is currently the only ModelPack implementation deployed in enterprise production environments.
ModelPack Specification
CNCF Project | Vendor-Neutral Standard
The vendor-neutral specification for AI/ML artifact packaging, created by Jozu in collaboration with Red Hat, PayPal, ANTGroup, and ByteDance. ModelPack defines the industry standard specification for how AI/ML artifacts should be packaged, versioned, and distributed.
From the Team that wrote the standards
Jozu is the creator and primary maintainer of the ModelPack
specification and KitOps—the most widely adopted build of the
ModelPack standard. Both open source projects provide powerful
capabilities, and are being adopted by enterprise teams.
To support enterprise use cases, Jozu offers professional support,
guaranteed SLAs, and expert guidance to ensure success at scale.
Why Enterprises Adopt KitOps:
The Standard for Security & Integration
While anyone can implement the ModelPack specification,
KitOps provides critical enterprise capabilities that go beyond the base standard:
Standards Compliance + More
- Full ModelPack specification compliance
- Additional enterprise security features
- Production-hardened performance optimizations
- Enterprise integration capabilities
Market Leadership
- The most downloaded ModelPack implementation
- The only ModelPack build in production use
- 150,000 users accelerating quarter over quarter
- The most mature implementation with years of development
Enterprise CI/CD Integration
Modern AI/ML workflows demand more than just standards compliance—they need enterprise-grade features, automation, security, and reliability. Our enterprise support for KitOps ensures your CI/CD pipelines leverage both the ModelPack standard and KitOps's enterprise enhancements.
Accelerated Deployment
Get your models from development to production 10x faster with KitOps's enterprise features: optimized CI/CD templates, automated workflows, and expert guidance on pipeline integration.
Security & Operations
KitOps adds enterprise security and operations features not in the base ModelPack spec: SHA verification, remote manifest inspection, cache management, diffs, and registry login / logout..
Production Ready Pipelines
Pre-built integrations for Jenkins, GitLab CI, GitHub Actions, OpenShift Pipelines, Dagger and more as well as 25+ other integrations with enterprise tools and platforms.
Support from the Inventors
Direct access to the engineers who created both ModelPack and KitOps. We know the standard inside-out because we wrote it, and we know the enterprise features because we built them.
Enterprise Optimizations
KitOps includes performance optimizations for large-scale deployments that go beyond the ModelPack specification requirements.
Migration Services
Seamlessly migrate from proprietary MLOps tools to the open ModelPack standard.
Support Plans for Every Stage
Choose the support level that matches your organization's needs.
All plans include support for both the ModelPack standard and KitOps's enterprise features.
Professional
- Business hours support (9-5 EST)
- 48-hour response SLA
- Email & ticket support
- Security patches & updates
- KitOps enterprise features support
Enterprise
Everything in Professional plus...
- 24/7 priority support
- 4-hour response SLA
- Hot fixes & emergency patches
- Dedicated Slack channel
- Quarterly health checks
- Governance Maturity Report
- Model Risk Audit
- Production Readiness Review
Enterprise Plus
Everything in Enterprise plus...
- Dedicated support engineer
- 1-hour response SLA
- Direct phone support
- 5 named contacts
- Monthly health checks
- Quarterly architecture reviews
- Influence on KitOps roadmap
Remote or on-site training on the ModelPack standard and all KitOps features and integrations can be added to any support plan.
What Our Enterprise Customers Say
Join Fortune 500 companies, government agencies, and leading technology organizations
who trust KitOps—the only ModelPack implementation in production use.
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.
As we have an open source first policy we are forced to go with tools like MLflow. But I really don’t like their 'opinionated' approach to how practitioners should log artifacts. I like the idea of using existing best practices in the MLOps space.
WHY JOZU
We Created Both
Standards and Implementation
We authored the ModelPack specification and built KitOps as its reference implementation. No one knows these technologies better than we do.
Market Leadership
by the Numbers
Jozu is installed completely behind your firewall, and uses your existing registries, RBAC, and authentication systems. Data never leaves your environment, and it works in air-gapped environments.
True Enterprise Experience
While others are still building basic ModelPack compliance, we've been running KitOps in enterprise production for years, continuously adding features based on real-world needs.
CNCF Governance
Both ModelPack and KitOps are part of the Cloud Native Computing Foundation, ensuring vendor neutrality and long-term sustainability. You get open standards plus enterprise features.
Tailored Support Plans
Every company is unique. To ensure that KitOps and ModelPack are well supported we've created three unique support tiers designed to work with the level of scale your organization requires.
The Clear Choice: KitOps for Enterprise AI/ML
| Decision Factor | Why KitOps Matters |
|---|---|
| Standards Compliance |
Fully ModelPack compliant
|
| Production Readiness |
Only implementation in production
|
| Market Adoption |
150,000+ downloads
|
| Enterprise Features |
Extensive capabilities beyond spec
|
| Professional Support |
From the creators
|
| Future-Proof |
CNCF governed
|
Resources & Documentation
Contact Us
Ready to deploy the only production-proven ModelPack implementation with enterprise support from its creators?
About Jozu
Jozu is the creator of both the ModelPack specification and KitOps—the only enterprise-ready implementation of the ModelPack standard. We provide security-conscious organizations with AI/ML lifecycle tooling that ensures AI projects move efficiently from development to production—without compromising compliance, security, or operational agility.
With deep expertise from organizations like AWS, Red Hat, and Docker, the Jozu team understands the discipline needed to operate mission-critical AI applications at enterprise scale. We're proud to have created both the standard (ModelPack) and the leading implementation (KitOps) that are transforming how enterprises deploy AI/ML.
How does Jozu Hub leverage the CNCF KitOps standard for model packaging?
Jozu Hub is built around KitOps, the open source packaging and versioning system that Jozu created and contributed to the CNCF in February 2025. When models are imported to Jozu Hub, they're packaged as ModelKits, giving Jozu customers tamper-proof storage, signed artifacts, security scanning, and audit trails while maintaining compatibility with the broader cloud-native ecosystem. Jozu’s KitOps integration means organizations get the security and governance features they need for production AI without vendor lock-in.
What is a ModelKit and how does it relate to the CNCF ModelPack specification?
ModelKit is a declarative package format that bundles model weights, datasets, codebases, documentation, prompts, and configuration into a single versioned, tamper-proof artifact. ModelKits work with any ML or AI project type. The ModelKit format was introduced by KitOps and, in turn, directly inspired the CNCF’s ModelPack specification that Jozu co-authored. The ModelPack specification was accepted into CNCF as an industry standard for packaging AI/ML projects. KitOps remains the first and only enterprise implementation of the CNCF’s ModelPack specification. Using ModelKits ensures your packages align with vendor-neutral, community-driven specifications.
Why did Jozu choose to build on CNCF open standards instead of proprietary formats?
Jozu built on CNCF open standards because proprietary solutions lock organizations into vendor ecosystems and create long-term technical debt. By aligning with OCI and CNCF standards, KitOps offers several advantages: it packages work with existing container infrastructure so organizations benefit from continuous community-driven innovation, and teams can integrate with any tool that accepts standard container types. This open source MLOps approach means you're not dependent on any single vendor's roadmap. The ModelPack specification has participation from major players like Red Hat, PayPal, and others - ensuring the standard evolves based on global enterprise needs rather than one company's business interests.