Soverius AI hosted a 3-hour hands-on workshop on September 16 with Rainer Hahnekamp and Murat S. building an incident-response app using Angular and React.

The hardest part of enterprise AI isn't the model. It's the engineering around it. Soverius AI builds the systems that keep your AI on your own infrastructure and data - capable, private, and under your control. For teams under real regulatory and privacy constraints, that's the difference between AI in production and AI that stays stuck in a pilot. Our work spans the full path from a local model to a system you can depend on: running and optimizing local LLMs on your own hardware; grounding them in your internal data through RAG, without that data ever leaving your control; engineering the harness that makes a capable model dependable in production; and building agents on top of it. A primary application is AI coding assistance: assistants that run on your own models, so proprietary source code never leaves your environment - the same sovereignty principle, applied to software development. We deliver this through consulting and hands-on workshops across local LLMs, RAG, harness engineering, and agentic development.