Addresses critical AI risks with the largest open source container type reference implementation for machine learning workflows.

Jozu, the company building a DevSecOps platform for enterprise artificial intelligence (AI), today announced its leading role in two open source projects, KitOps and ModelPack. Backed by the CNCF, these projects are the first to bring container-like portability to AI/ML workflows and make model delivery as reproducible and secure as any container deployment.

Jozu was one of the leading developers of the ModelPack specification, now hosted under the Cloud Native Computing Foundation (CNCF) and backed by PayPal, ByteDance, ANT Group, and Red Hat. Jozu’s open-source KitOps project is the most widely adopted ModelPack implementation with over 140,000 downloads in the last year alone.

AI/ML teams have struggled to package, version, and move models, datasets, and code between development and production environments. ModelPack extends the OCI (1.1) standard to support the large artifacts common in AI, while KitOps assembles them into versioned ModelKits that work seamlessly with existing container registries and Kubernetes infrastructure so no new tooling is required.

"The AI/ML ecosystem has lacked open standards for packaging, versioning, and sharing projects," said Mohamed Nanabhay, managing partner at Mozilla Ventures. "The ModelPack specification, by extending the existing OCI standard for the large artifacts common in AI, has taken a huge step toward giving AI/ML teams the same flexibility as containers brought to application teams."

Enterprises are already realizing the benefits. DSV, a $24 billion global logistics leader, has standardized on KitOps to accelerate delivery across 90+ offices, while a security-focused German SI reported 41% faster delivery cycles for their projects, while automating adherence to their stringent security and compliance requirements.

“ModelKits make AI deployments cryptographically verifiable, compliant, and reproducible across any Kubernetes environment,” said Görkem Ercan, CTO and Co-Founder of Jozu. “Teams can now move models through Dev, Test, and Prod with the same confidence and ease that they move containers.”

Jozu now offers enterprise support for both KitOps and ModelPack through its Jozu Hub platform, which provides full security and operational management for ModelKit projects across connected, on-premises, and air-gapped environments.

For more information, visit jozu.com.

About Jozu

Jozu provides production operations infrastructure for enterprise AI through secure model packaging and deployment. Built on open source KitOps (CNCF Sandbox) and the ModelPack specification, Jozu's Kubernetes-native platform integrates with existing container registries and delivers tamper-proof deployments with complete audit trails. Trusted by government agencies and global enterprises for both connected and air-gapped environments.

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“ModelKits make AI deployments cryptographically verifiable, compliant, and reproducible across any Kubernetes environment,” said Görkem Ercan, CTO and Co-Founder of Jozu.