Full data control
Process sensitive customer and proprietary data inside your own perimeter, eliminating third-party data exposure.
Solutions · Sovereignty and compliance
Full control over your AI models, data, and infrastructure
We help regulated industries build and operate powerful AI systems on-premises or in a private cloud, ensuring full control over data, models, and compliance.
Achieve compliance by design
Regulatory alignment
Meet GDPR, HIPAA, and other regional data residency rules by deploying in your required jurisdiction.
Operational independence
Avoid vendor lock-in and maintain service continuity, independent of external API providers and geopolitical shifts.
Problem
Why public cloud AI creates compliance risks
Using third-party APIs sends your sensitive data to external servers, creating complex legal challenges and making it difficult to prove data residency and chain of custody to auditors.
Approach
A framework for sovereign AI deployment
- Map data flows and residency requirements
- Architect a private compute and model serving environment
- Implement robust access controls and audit logging
- Establish governance for model and data lifecycle management
Outcomes
What you get
A deployment architecture that satisfies legal and security teams
Clear data governance and residency documentation for auditors
An operational AI platform under your complete control
Need to deploy AI under strict regulatory constraints?
We specialize in designing and implementing on-premises and private cloud AI solutions for the world's most demanding compliance environments.
Related insights
Articles on data residency, regulatory frameworks and sovereign AI architectures.
Sovereignty
Why AI data sovereignty is becoming a legal obligation in Europe
GDPR, AI Act, CLOUD Act: why hosting your LLMs in Europe is no longer a choice but a legal and strategic necessity.
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Guide
Choosing between local, private and sovereign AI
The three terms get mixed up constantly. Here is a practical framework to decide what your organization actually needs.
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Costs
Cutting your LLM bill without losing quality
Quantization, batching and model right-sizing — the levers that reduce inference spend by an order of magnitude.
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