Project context
Sovereign AI Infrastructure
Private AI platform for a global maritime engineering company. Open-source models running on-premise with Kubernetes - zero data leaves the building.
Client identity kept confidential
Evidence
Measured and observed during deployment inside the client infrastructure. Model quality compares a client-specific domain benchmark with selected cloud models.
The challenge
The solution
Technology stack
The result
Fully operational private AI platform running inside client infrastructure with zero external data transfer.
Engineering teams using RAG-based document search across technical manuals and project archives.
PII redaction pipeline processing documents before they enter the AI layer - compliance team signed off on day one.
Client DevOps team trained on platform operations and already extending with new use cases.
Predictable monthly infrastructure cost replacing unpredictable per-token API spend.
Next step
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