Jozu, the company building enterprise-grade orchestration tools for AI applications, today announced it has raised $4 million in seed funding. The round was led by HalfCourt Capital, with participation from Mozilla Ventures, BrightSpark, AlleyCorp, Sentiero, and Union Bay Partners.
The investment will accelerate Jozu’s mission to provide security-conscious organizations with AI/ML lifecycle tooling that accelerates AI projects from development to production—without compromising compliance, security, or operational agility.
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“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 – AI models and Agents need to be integrated, tested, secured, and audited throughout their lifecycle. 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.”
As businesses move from AI prototypes to production, they face significant challenges managing the complexity of AI/ML projects. Jozu provides a comprehensive solution for AI model and agent orchestration, enabling organizations to deploy and scale AI solutions with confidence.
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“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. We’re excited to support their vision for making enterprise AI operations seamless, secure, and scalable.”
About Jozu
Jozu provides 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.
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