Enterprise AI startup Jozu has raised $4 million in seed funding to expand its orchestration tools designed for secure, self-hosted AI projects. The round was led by HalfCourt Capital, with support from Mozilla Ventures, BrightSpark, AlleyCorp, Sentiero, and Union Bay Partners.
This investment supports Jozu’s push to streamline the deployment and operation of enterprise AI systems while maintaining strict compliance and data protection. The company focuses on AI/ML lifecycle tooling that helps organizations move from development to production without sacrificing security or agility.
As businesses scale beyond prototypes built on OpenAI or Anthropic, the need to manage complex AI workflows in-house is growing. Jozu’s platform offers a structured approach to orchestrating AI models and agents, especially for teams handling sensitive data or operating under regulatory pressure.
"Organizations are moving from prototypes built with OpenAI and Anthropic, to production deployments using self-hosted models to protect their data and competitive advantage," said Brad Micklea, CEO & Founder of Jozu. “That isn't as simple as grabbing an open source model from Hugging Face… This funding will allow us to meet the rapidly growing enterprise demand for tools that simplify, secure, and speed the productization of self-hosted AI projects.”
With this new funding, Jozu plans to accelerate development of its AI operations control plane. The platform will enable enterprises to manage model deployment, inference, security, and governance in one place—aiming to make AI operations as manageable as traditional software.
The company will also deepen its focus on compliance tooling, such as security scanning, model tracking, and audit trails. In parallel, Jozu is scaling KitOps.org, its open-source reference implementation for model packaging, developed in collaboration with the Cloud Native Computing Foundation (CNCF).
To support these initiatives, Jozu will grow its team, focusing on engineering and go-to-market roles. These hires are critical to its goal of shaping the next generation of DevOps infrastructure for enterprise AI.
At the heart of Jozu’s open-source efforts is KitOps, a packaging and versioning standard for AI/ML models that aligns with OCI—the same format used in containerized applications. KitOps allows enterprises to manage AI models using familiar DevOps tooling, without vendor lock-in.
In its first year, KitOps has seen over 85,000 downloads and has been adopted by organizations across North America, the EU, and Asia. It is now in use in production environments across both the private and public sectors.
"The next phase of AI adoption is all about operational excellence," said Rob May, General Partner at HalfCourt Capital. "Jozu is building the critical infrastructure that will allow enterprises to deploy and manage AI applications with the same rigor - and the same teams and tools - they use with traditional software."
The startup has also attracted backing from Mozilla Ventures, BrightSpark, AlleyCorp, Sentiero, and Union Bay Partners, who share the vision of enterprise-ready AI infrastructure grounded in open standards and security.
