Jozu
@Jozu_AI
The DevSecOps platform for Machine Learning Projects. Get your ML to production faster and more secure.
Today, we’re releasing a first version of Jozu PromptKit → a local-first tool for capturing, reviewing, and managing LLM prompt interactions. It ensures policy-controlled workflows for verified, auditable prompt artifacts in production Free to try and open source.
Jozu Pioneers Industry Standard with ModelPack and KitOps Modelkit for Secure Machine Learning in Enterprises • @Jozu_AI • Disaster Recovery Journal drj.com/industry_news/…
COMPUTER WEEKLY Jozu drives open source ModelPack & KitOps Modelkit computerweekly.com/blog/Open-Sour… via @computerweekly @Jozu_AI
If you build and deploy AI systems, the EU AI Act changes the story. Now, it’s no longer enough for your systems to just work; you now also need to prove how they work. Record keeping, human oversight, transparency, and more, all these now matter for compliance. @Jozu_AI's…
Jozu isn’t just storage for ML models. It’s a secure OCI registry built for AI artifacts. With KitOps, you can version, sign, and deploy ModelKits directly from Jozu to Kubernetes.
We just wrapped up our latest Community Call! 🎉 We discussed KServe, KitOps, and a lot more… If you missed it live, you can always watch the recording youtube.com/live/GXulLGF14…
youtube.com
YouTube
KitOps Community Call - September 17th, 2025 (KServe edition!)
Deploying LLMs shouldn’t take days. Jozu Hub + Rapid Inference Containers = - 10x faster inference deployment - Auto-generated OCI-compatible runtimes - Works with open LLMs like DeepSeek, Llama Production-ready. Private. Fast.
From Hugging Face to Kubernetes via Jozu. - Import model into KitOps - Package as a ModelKit - Push to Jozu - Deploy with K8s manifests One workflow. Zero friction.
10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows | Guide by @Jozu_AI dev.to/jozu/10-must-k…
Learn about 10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows | Guide by @Jozu_AI and moi!
You may be familiar with platforms like @ApacheAirflow, @MLflow, and Prometheus. Others like @Kit_Ops, Feast, or @seldon_io might hide in plain sight. But once you connect them, the full map of AI/ML platform engineering comes into view. It’s a system of features, pipelines,…
KitOps and @Jozu_AI are trusted by highly secure government agencies for their critical infrastructure!
ML workflows often break at scale because model management becomes fragile: - Config drift - Inconsistent weights - Mismatched data - Hidden dependencies Jozu + KitOps make model versioning feel more like building Docker containers: structured, reproducible, and portable. It’s…
Jozu provides the backbone for scalable ML deployments. When combined with KitOps, your models move through dev → staging → prod without breaking. Reproducible. Portable. Secure.
Prompt injections and model theft aren’t theory; they’re happening. How are you protecting your LLMs?
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