Sovereign AI Platform — Engineering Team
Deployed a sovereign, self-hosted AI platform for an engineering team of 15, giving secure access to 120B parameter models with zero data leaving the controlled environment.
engineers onboarded to production-grade sovereign AI toolchain
The Challenge
An engineering team of 15 working with sensitive and regulated data needed access to state-of-the-art large language models — but could not send any data to third-party APIs. Standard cloud LLM services were off the table. They needed a fully sovereign, self-hosted AI platform that matched the capability of commercial offerings.
Our Approach
We deployed OpenWebUI on internal Docker infrastructure, configured for multi-user access with role-based access controls. Commercial and open-source models were integrated, including 120B parameter models running on Vast AI GPU cloud infrastructure across US and UK instances. Post-update configuration issues in both regions were resolved. Internal function-call variable naming conventions were standardised across the platform for consistency across the engineering team.
The Outcome
The full team of 15 engineers was onboarded to a production-grade, data-sovereign AI toolchain. Zero data left the controlled environment. The platform supports multiple large language models simultaneously, with role-based access ensuring appropriate model access per team member and workload sensitivity.
Technology Stack
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