Hyperscaler data may be subject to US CLOUD Act, FISA and other non-EU jurisdictions, unacceptable risk for regulated industries.
BearingPoint operates a fully owned, sovereign, on-premise and edge infrastructure stack for sensitive AI workloads, hosted in the Graz data center, entirely within EU jurisdiction, free from hyperscaler lock-in and non-EU legal exposure.
Many organizations have started GenAI pilots, but when it comes to moving these experiments into mission-critical, enterprise-wide deployments, the cloud becomes a blocker, not an enabler.
Data sovereignty obligations, regulatory requirements, and geopolitical risks prevent highly regulated industries from unlocking the full potential of AI. GenAIQ's mission, moving beyond isolated AI experiments into enterprise-wide automation, requires an infrastructure foundation that matches that ambition.
BearingPoint's Sovereign Infrastructure stack was built precisely for this gap: the secure, compliant, fully controlled foundation that makes enterprise AI deployment possible in sensitive environments.
Hyperscaler data may be subject to US CLOUD Act, FISA and other non-EU jurisdictions, unacceptable risk for regulated industries.
New EU regulations demand transparency, auditability and data residency guarantees that generic cloud AI cannot provide out of the box.
Token costs, egress fees and proprietary APIs create unpredictable cost structures and long-term dependency.
Mission-critical AI processes must not depend on external service-continuity decisions outside the organization's control.
Four core principles that differentiate BearingPoint's sovereign stack from generic cloud or co-location alternatives.
• 100% data residency within EU borders
• No non-EU jurisdiction exposure
• BearingPoint-owned and operated hardware
• Complete auditability of data flows
• Start with 1–2 racks or edge nodes
• Scale modularly to full sovereign zones
• Co-location in Graz DC or customer sites
• Air-gapped deployment options
• GPU/accelerator clusters for LLM inference
• Supports Llama, Gemma, Mistral & custom models
• High-throughput token processing
• Low-latency agentic workflow execution
• EU AI Act, GDPR, NIS2, DORA alignment
• Zero-trust network architecture
• Hardware hardening & encryption
• GRC / compliance tooling integration
Three integrated layers, purpose-built for AI workloads in regulated environments, mirroring the GenAIQ platform architecture.
BearingPoint-owned GPU and AI accelerator nodes hosted in the Graz data center. Optimized for large language model inference, fine-tuning, and agentic multi-step workloads. Supports open-weight models (Llama, Gemma, Mistral) and custom models. Optional edge appliance deployment for on-site requirements.
Enterprise-grade high-performance storage optimized for large model weights and training data. Segmented, high-bandwidth networking between compute nodes. Observability and monitoring integrated across all layers. Multi-tenant and dedicated configurations available.
End-to-end encryption at rest and in transit. Segmented, zero-trust network architecture. Integrated IAM with full audit logging. Support for air-gapped and highly isolated deployments. Regulatory compliance hooks for AI Act, NIS2, DORA, GDPR.
Three deployment paths matched to your organization's readiness, risk appetite and growth trajectory.
| Dimension | Dedicated hardware | Sovereign zone | Token-based LLM access |
|---|---|---|---|
| Control level | Full | Full | Shared |
| CAPEX / OPEX mix | Flexible (both) | Flexible (both) | Pure OPEX |
| Scalability | Modular | High | Immediate |
| Integration effort | Medium | Medium–High | Low |
| Data isolation | Dedicated | Dedicated | Logical |
| Time to first AI output | Weeks | Weeks–Months | Days |
Sovereign infrastructure unlocks AI use cases that were previously impossible due to regulatory, sovereignty or security constraints.
Full data sovereignty required for citizen data processing. AI use cases must remain within national jurisdiction.
• Secure document assistants for case workers
• Automated case processing and routing
• Regulatory compliance monitoring
• Cross-agency knowledge management
Strict isolation requirements. Air-gapped environments essential for sensitive intelligence and operational data.
• Classified document analysis
• Operational decision support systems
• Threat intelligence processing
• Logistics and supply chain automation
DORA and regulatory obligations demand auditability, operational resilience and strict data governance for AI systems.
• Automated financial reporting (GenAIQ Financial Reporter)
• Regulatory compliance analysis
• Risk model explainability
• Fraud detection with audit trails
Patient data must never leave EU jurisdiction. Clinical AI requires full explainability and data lineage documentation.
• Clinical documentation assistance
• Drug discovery knowledge processing
• Regulatory submission automation
• Anonymized patient data workflows
NIS2 mandates strict cybersecurity and operational resilience for energy, water and transport operators running AI systems.
• Operational anomaly detection
• Predictive maintenance automation
• Grid management decision support
• Incident response automation
IP protection, export-control compliance and supply-chain security make sovereign AI infrastructure essential.
• Procurement optimization (GenAIQ Procurement Optimizer)
• Quality assurance AI workflows
• Supply chain intelligence
• Confidential design data processing
The sovereign stack that powers GenAIQ agents.
The sovereign infrastructure stack is engineered specifically to run GenAIQ as the agentic AI layer on top. All orchestration, agent execution, workflow automation and enterprise integrations happen entirely within the sovereign boundary.
Organizations that require full sovereignty can now run the complete GenAIQ platform, including all domain-specific agents, without any data leaving the EU or touching a hyperscaler.
Contract checks, ESG extraction, price monitoring — fully sovereign
Regulatory analysis and reporting with explainable AI — on-premise
Automated validations and quality checks — audit-ready, sovereign
Three steps from your first conversation to a running sovereign AI environment, BearingPoint guides you end-to-end.
Identify regulatory exposure and readiness gaps in your current AI setup.
Design the right stack configuration for your industry and workloads.
Go live on sovereign infrastructure with a GenAIQ use case in weeks.
