KitOps standardizes how AI/ML projects are packaged, versioned, and shared across teams and tools. It packages models, training data, code, and configuration into layered OCI artifacts that integrate with existing container registries and the Kubernetes AI/ML technology stack. As the enterprise implementation of the CNCF ModelPack specification, it serves security-conscious organizations that need to self-host and manage AI assets through their existing DevOps and MLOps pipelines.