Sovereign AI Platform

Your Own LLMs, Your Data, in a European Sovereign Cloud

Most companies use generative AI through a few large, non-European cloud providers, exposing proprietary IP and sensitive customer data to foreign companies.

The Sovereign AI Platform offers an alternative: deploy open-weight models tailored to your company’s knowledge in an isolated sovereign cloud operated by StackIT in EU data centers. It is OpenAI-compatible, accessible only through private VPC endpoints, and designed to prevent external data exfiltration.

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True Sovereignty

Guarantees data and model weights remain strictly under European jurisdiction, eliminating extraterritorial legal claims and foreign cloud dependency.

Secure Network

Protects mission-critical workloads inside private, isolated VPCs with end-to-end encryption in transit and at rest.

OpenAI Compatible

Enables frictionless migration of existing applications and tooling by swapping the base URL without codebase rewrites.

Sovereign Adaptation

Combines enterprise RAG and parameter-efficient LoRA fine-tuning so models master your knowledge without exposing raw training assets.

Your way to AI sovereignty

Migrating generative workloads away from non-European hyperscalers requires architectural control, compliance rigor, and predictable unit economics. Our phased value framework guides your organization from an initial sovereignty assessment to fully managed model operations inside your own isolated StackIT cloud environment. Each stage delivers immediate, standalone deliverables and unlocks the next, keeping you in complete control of scope, timeline, and infrastructure investment.

01

Assess use cases, define data and sovereignty requirements, evaluate open-weight models, and determine the optimal deployment architecture

02

Validate a dedicated open model on a slice of your real data inside StackIT and build a board-ready migration business case

03

Stand up a production sovereign endpoint: consumption-priced shared serving or a dedicated, fully isolated in-VPC landing zone on reserved GPUs

04

Engineer a production RAG pipeline with verified citations, train custom LoRA adapters for brand voice and task execution, and implement automated evaluation harnesses

05

We manage, autoscale, patch, and optimize your dedicated sovereign cluster under a strict SLA with continuous EU AI Act compliance evidence

Sovereign AI Discovery Workshop

A focused 1-day alignment session with your business, IT, and security stakeholders to determine which AI workloads to bring home, which open-weight models fit best, and which deployment mode makes financial and operational sense.

Duration

1 day on-site or remote

Scope
  • Auditing data privacy classifications, regulatory boundaries (GDPR, EU AI Act), and isolation requirements
  • Evaluating European and open-weight models against your business goals
  • Comparison of consumption-priced shared serving against dedicated in-VPC GPU clusters for your projected query volumes
Deliverables
  • Target architecture blueprint
  • Model & adaptation matrix
  • Prioritized sovereign roadmap

Pilot & Migration Assessment

See your own model operating on your own data inside a sovereign European cloud, supported by a board-ready business case to migrate off incumbent hyperscalers. We deploy a bounded, disposable proof in a dedicated StackIT project to establish empirical performance baselines.

Duration

4 weeks

Scope
  • Bounded MVP deployment
  • In-VPC isolation setup
  • Domain expert quality check
  • Migration & TCO assessment
Deliverables
  • Live demonstration environment
  • Executive migration business case
  • Compliance & sovereignty analysis

Sovereign Deployment

We deploy your sovereign AI endpoints into production under one of two operating modes: an instant, consumption-priced shared service, or a dedicated, fully isolated landing zone running on reserved GPUs inside your own StackIT project.

Duration
  • Shared serving: 5 days
  • Dedicated landing zone: 6 weeks
Scope
  • Mode A: Connecting to managed service
  • Mode B: Standing up an isolated production environment
  • Network security
  • API compatibility layer
Deliverables
  • Production sovereign endpoint
  • Developer integration package

Model Adaptation (RAG + LoRA)

Transform a base open-weight model into a proprietary corporate asset that reflects your domain expertise. We build a high-precision enterprise RAG pipeline with strict citation logic and train lightweight LoRA adapters to mirror your corporate tone, structured formats, and task requirements.

Duration

8 weeks

Scope
  • Production RAG Pipeline
  • Sovereign LoRA Fine-Tuning
  • Evaluation Harness and Guardrail Engineering
Deliverables
  • Vector database and contextual retrieval pipeline
  • Domain-adapted model weights optimized for specific business tasks
  • Operational AI Harness and guardrails

Sovereign AI Managed Service

We operate, monitor, and scale your dedicated sovereign AI platform under strict service-level agreements. Our team handles Kubernetes operations, GPU right-sizing, baseline model upgrades, RAG re-indexing, and regulatory compliance evidence so your platform stays secure, available, and cost-efficient.

Duration

Ongoing monthly service

Scope
  • Cluster & inference operations
  • GPU & cost optimization
  • Periodic vector index updates
  • Security & regulatory telemetry
Deliverables
  • SLA-backed cluster management
  • Monthly telemetry & cost reports
  • Continuous compliance & audit logging

Reclaim digital sovereignty

Stop transferring sensitive corporate data and prompts to foreign jurisdictions. Take the first step with our 1-day Sovereign AI Discovery Workshop to clarify your compliance requirements, select the right open-weight models, and build a predictable migration roadmap to StackIT.

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Bring your AI home to European infrastructure

Ensure the autonomy of your workloads. We'll take care of everything, from planning to large-scale expansion. Let's talk about it!

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Frequently Asked Questions

How is this genuinely sovereign compared to using an "EU region" of a US hyperscaler?
An "EU region" provided by a foreign cloud vendor remains subject to foreign legal jurisdiction, including extraterritorial access statutes such as the US CLOUD Act. In contrast, the Sovereign AI Platform operates exclusively on StackIT (Schwarz Digits) within European data centers under EU legal jurisdiction. Physical infrastructure, corporate ownership, and legal control remain strictly in Europe, ensuring that foreign courts or authorities cannot compel access to your data.
Do we need to rewrite our existing AI applications and pipelines to switch?
No. Both the Shared and Dedicated deployment modes provide standard OpenAI-compatible REST endpoints. If your applications, orchestration frameworks, or internal tools already consume OpenAI-format APIs, migration requires changing little more than the base URL and API key.
Which models can we deploy, and do we have to train them from scratch?
You do not need to train models from scratch. We deploy battle-tested, pre-trained open-weight models, prioritizing leading European models such as Mistral alongside other verified open architectures. Under the Dedicated deployment mode, you have complete model choice and can specify any parameter size or architecture required for your use case.
How is our proprietary data protected during RAG indexing and fine-tuning?
Your data never leaves your isolated sovereign cloud environment. For RAG implementations, vector databases and document ingestion pipelines run inside your isolated VPC and are accessible solely through private endpoints. When conducting LoRA or QLoRA fine-tuning for specific tasks or brand voice, all adapter training takes place directly on your sovereign cluster, ensuring no training datasets, prompts, or weights are ever shared externally.
When should we choose Shared serving versus Dedicated in-VPC deployment?

Shared Serving: Consumption-priced (pay-per-token) and provisioned in days, making it ideal for low-volume workloads, prototyping, and fast time-to-market.

Dedicated Deployment: Provisions reserved GPU capacity inside an isolated StackIT project via Infrastructure as Code. Choose Dedicated when you require full single-tenant hardware isolation, custom LoRA fine-tuning, or sustained production volumes. At steady high volume, dedicated GPU clusters are significantly more cost-effective than metered per-token billing.

Can the platform run directly inside our existing StackIT enterprise account?
Yes. We support two commercial arrangements: Groundfog can provision and manage StackIT capacity as a single consolidated invoice, or we can deploy the complete Infrastructure-as-Code stack directly into your organization's existing StackIT tenant. If you use your own tenant, your infrastructure is billed directly by StackIT, and Groundfog provides implementation and the ongoing managed operations retainer.
How does the platform support compliance with the EU AI Act and GDPR?
By guaranteeing that all inference, vector storage, and fine-tuning stay within isolated EU data centers, the platform resolves data residency and cross-border transfer challenges under the GDPR. For the EU AI Act, the platform provides automated evaluation harnesses, deterministic safety guardrails, continuous quality and latency telemetry, and comprehensive audit logs required for regulatory documentation.