AI Sovereignty

Own your AI. Run open AI models on your infrastructure, under your jurisdiction, with full governance and independent of any third-party cloud provider.

every layer under your control.

Build AI independence From hardware to model

Bring your compliance requirements, integration challenges, or scaling ambitions. We’ll make AI sovereign for you.

The era of relying solely on external AI APIs is ending. As AI becomes mission-critical the limitations of the “AI as a service” model become impossible to ignore. Data exposure to third-party service providers, unpredictable model usage policies and token-based pricing, vendor lock-in, and the inability to customize models to internal needs are real barriers to enterprise AI adoption.

AI Sovereignty is the answer. It means running open-weight large language models on infrastructure controlled by the organization, on-premises or in a private cloud, so that data, models, compute, and governance remain entirely within the enterprise perimeter. For European organizations, this is not just a technical preference but an emerging regulatory and strategic imperative.

AI Sovereignty is our most comprehensive AI offering. It includes complete AI Governance stack (AI Gateway, AI Guardrails, Tracing, Policy Management, Compliance, Cost Control) plus the full self-hosted infrastructure: GPU hardware, container orchestration, inference engines, and open-weight model deployment.

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AI Sovereignty Stack

GPU Infrastructure & Hardware

Enterprise-grade GPU compute sized for production AI workloads. From initial sizing through procurement guidance to operational management. Our experts guide you through the whole process of establishing the hardware foundation for AI independence.

Container Orchestration & Platform

Kubernetes-native platform layer that manages, scales, and secures AI workloads. Built on OpenShift or Kubernetes with GPU-aware scheduling, lifecycle management, and multi-tenant isolation.

LLM Inference Engine

High-performance model serving with an LLM inference engine like vLLM, the open-source inference engine that powers production AI at scale. Run multiple open-weight models in parallel with optimized GPU utilization.

Open-Weight Model Management

Selection, evaluation, deployment, and lifecycle management of open-weight LLMs. Our expertise guides you in choosing the optimal models for each use case. From general reasoning and multilingual capabilities to specialized enterprise tasks. We are leveraging our proven ability to scale these models according to your requirements.

Model Fine-Tuning & MLOps

Adapt base models to your business domain and automate the entire model lifecycle. Fine-tuning pipelines, experiment tracking, dataset management, and automated retraining workflows built on open-source MLOps tooling, so model improvement is continuous, reproducible, and governed.

AI Governance (Included)

The complete AI Governance stack is built into the sovereign platform. AI Gateway for centralized traffic control, Guardrails for safety enforcement, Tracing for audit trails, Policy Management for access control, and Cost Analytics for usage visibility.

For full details on the AI Governance capabilities, see our dedicated AI Governance offering.

AI Sovereignty vs. AI Governance

Capability	AI Governance	AI Sovereignty
AI Gateway	✓	✓
AI Guardrails	✓	✓
AI Tracing & Observability	✓	✓
Policy & Access Management	✓	✓
Regulatory Compliance	✓	✓
Cost Control & Analytics	✓	✓
GPU Infrastructure & Hardware	—	✓
Container Orchestration (K8s/OpenShift)	—	✓
LLM Inference Engine	—	✓
Open-Weight Model Management	—	✓
Model Fine-Tuning & MLOps	—	✓
Full Data Sovereignty	—	✓
Target	Cloud AI services	Self-hosted AI platform

AI Governance is the right choice for organizations that use cloud AI providers (OpenAI, Azure, Anthropic, Google) and need governed, policy-driven, auditable AI usage without managing their own infrastructure.

AI Sovereignty is the right choice for organizations that need complete independence from third-party AI providers where data sensitivity, regulatory requirements, or strategic priorities demand that AI runs entirely on controlled infrastructure, with full governance built in.

Our approach

5-Phase AI Sovereignty Framework

We follow a structured four-step approach to deliver comprehensive AI Governance.

1.

Assessment & Discovery

We evaluate your current infrastructure, data flows and regulatory exposure. This phase identifies sovereignty gaps, maps high-value use cases for self-hosted AI, and produces GPU infrastructure sizing and cost modeling (self-hosted vs. cloud API).

2.

Architecture & Design

Based on the assessment, we design the full-stack sovereign AI architecture tailored to your environment. This includes GPU hardware selection, container orchestration platform, inference engine evaluation, model strategy, governance integration, and network/security design. We present solution options with clear trade-offs and always account for existing infrastructure that can be reused.

3.

Proof of Concept

We deploy a working PoC of the designed architecture with a representative model and workload. The PoC validates inference performance, GPU utilization, governance integration, and operational workflows against defined acceptance criteria before committing to full-scale deployment

4.

Production Rollout

Based on PoC learnings, we execute the full platform deployment: GPU infrastructure provisioning, Kubernetes/OpenShift setup, inference engine configuration, model deployment, governance stack integration, and monitoring. Rollout is incremental: starting with high-sensitivity use cases where data sovereignty matters most, then expanding as organizational confidence grows.

5.

Operations & Evolution

Ongoing operational support, including monitoring, model lifecycle management, infrastructure upgrades, guardrail tuning, and capacity planning. As

new GPU hardware and open-weight models are released, we help the platform evolve to take advantage of improvements.

WHAT WE BRING TO THE TABLE

Why Work With Us?

PROVEN EXPERTISE

Proven expertise in building enterprise AI platforms from GPU infrastructure through container orchestration, inference engines, governance, and enterprise integration built on real-world experience operating sovereign AI at production scale.

OUR CAPABILITIES

Our capabilities are anchored by Jarvis, our fully operational self-hosted Enterprise AI Platform, which runs on our own GPU infrastructure, powers AI agents and workflows across our company, and serves as a living reference implementation for everything we deliver to clients.

COMPLIANCE EXPERTS

Understanding of the regulatory landscape, with practical experience implementing compliance frameworks for EU AI Act, GDPR, NIS2, and DORA across multiple industries.

STRONG PARTNER NETWORK

Technology partners include NVIDIA, IBM, Red Hat, Mistral, and ClearML, ensuring access to enterprise-grade hardware, software, and support across the entire sovereign AI stack.

Contact

If you have any questions, we are one click away.