Jozu Hub
Jozu Hub: A focused registry for teams that need versioned, governed AI artifacts. Ranked #21 of 34 in Model Registry Software by our editors (6.8/10); pricing: Free plan · 14-day trial; best for teams securing packaged AI artifacts.
At a glance
- Editor score6.8 / 10
- PricingFree plan · 14-day trial
- Best forTeams securing packaged AI artifacts
- Free planYes
- Facts checked22 Sep 2026
Where it wins
- ModelKit version comparison and artifact diffing
- Security scanning with signed provenance and approval attestations
- Hosted SaaS plus self-hosted, private-cloud, and air-gapped deployment
Where it doesn't
- Sandbox limits private repositories to one
- Enterprise pricing is not publicly listed
- Sandbox support is provided through Discord
Our verdict on Jozu Hub
Jozu Hub is a private registry and governance platform for teams managing AI and machine-learning artifacts packaged as KitOps ModelKits. It stores and versions models, datasets, code, prompts, skills, MCP servers, configurations, and policies. Its audience is teams that need more control than basic artifact storage, particularly those securing packaged AI assets across development and self-hosted deployment environments.
Pricing is structured around a free Sandbox plan and a paid Enterprise plan. Sandbox includes unlimited public repositories, one private repository, 250 GB of storage, Hugging Face import, and community support through Discord. Enterprise adds self-hosting on-premises or in a private cloud, unlimited repositories and storage, custom security scanning and policies, support for your own registry and RBAC, and email and Slack support. The product is available through web and API access, with self-hosted deployment for Kubernetes environments. Integrations include GitHub Actions, GitLab, and MLflow. A two-week self-hosted trial is also offered.
The strongest fit comes from its security and governance depth. Jozu Hub can scan AI-specific vulnerability classes, attach signed attestations for scan results, provenance, and approvals, control artifact pulls through policies, and manage repository visibility, permissions, and RBAC. It also provides deployment status for models, agents, and MCP servers in self-hosted environments, plus rapid inference container generation at pull time. Teams that need private AI artifact management and deployment oversight should consider it; smaller teams needing several private repositories may outgrow Sandbox, while teams seeking open-source software should look elsewhere.
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Jozu Hub pricing
All 2 Jozu Hub plans and prices →
Jozu Hub fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Model versioning | Yes |
| Approval workflows | Not verified |
| Model lineage | Yes |
| Deployment tracking | Yes |
| Model aliases | Not verified |
| Artifact storage | Yes |
| Free trial | 14 days |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | GDPR, SSO/SAML |
| Support | Email, Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: GitHub Actions, GitLab, MLflow |
| Pricing | Free plan · 14-day trial (source) |
| Website | jozu.com |
| Facts checked | 22 Sep 2026 |
Jozu Hub integrations
Jozu Hub lists 3 integrations on its own site.
- GitHub Actions
- GitLab
- MLflow
Alternatives to Jozu Hub
- SAS Model ManagerA governance-focused registry for managing models from versioning through monitoring.9.3
- Cloudera AI RegistryA focused model registry for teams operating machine learning workflows in Cloudera AI.9.2
- MLflow Model RegistryAn open registry for versioning, lineage, approvals, aliases, and model promotion.8.9
See all Jozu Hub alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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