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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.

Live productionGlobal maritime engineering company2025

Client identity kept confidential

Headline result
100%
Data Residency Compliance
Measured
100%
Data Residency Compliance
Zero external API calls - all inference runs on-premise
Measured
6 weken
Platform Deployment
From kick-off to production-ready private AI platform
Observed
~88%
Model Quality vs Cloud
Open-source model performance relative to frontier models on domain tasks
Measured
0
External Dependencies
Fully air-gapped - no cloud AI services required
Observed

The challenge

The solution

Technology stack

KubernetesLlama 3 / MistralQdrantLangChainPII RedactionPython

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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Sovereign AI Infrastructure Case Study | Laava