BearingPoint has announced the launch of what it describes as a fully sovereign, on-premise infrastructure platform purpose-built for generative and agentic AI workloads, targeting highly regulated industries and public administrations across Europe.

The offering, called the BearingPoint Fully-Owned Sovereign Infrastructure Stack, is designed, operated, and managed entirely by BearingPoint and anchored by the firm's own data center in Graz, Austria.

A Response to Growing Demand for European AI Sovereignty

The announcement comes as European organizations face increasing pressure to manage sensitive data within jurisdictions subject to EU law. BearingPoint says all data processed through the new infrastructure remains in Austria and therefore within European legal boundaries, shielding clients from what the firm characterizes as geopolitical risks, arbitrary pricing changes by international hyperscalers, and the potential for external service shutdowns.

Matthias Roeser, Partner and Global Leader Technology at BearingPoint, stated that demand for sovereign AI infrastructure in Europe is growing rapidly. Philipp Sturm, Head of IT Infrastructure Services at BearingPoint in Graz, added that the platform enables clients to run state-of-the-art AI applications in an environment that consistently respects European values, regulations, and security requirements.

The infrastructure build-out marks an extension of BearingPoint's existing AI portfolio and draws on the firm's decades of experience operating its own sovereign cloud. The new stack moves beyond cloud-only offerings to include dedicated physical hardware and edge appliances managed under the firm's direct control.

Modular Architecture Designed to Scale

The stack is structured to allow organizations to begin deployments at a limited scale and expand as requirements grow. Clients can start with individual racks, dedicated nodes, or edge appliances, then scale modularly up to complete sovereign zones.

GPU- and accelerator-based compute resources, high-performance storage, and high-speed clusters form the technical foundation, optimized specifically for the computational demands of generative and agentic AI workloads.

BearingPoint says the architecture supports automation of knowledge work, end-to-end process orchestration, and the secure operation of domain-specific AI assistants. The intention is to move AI initiatives beyond the pilot phase and enable sustainable scaling within compliant environments.

Clients have access to two primary usage models: dedicated hardware deployments or token-based access to large language models running within the sovereign environment.

Supported models include open-weight and local options such as Llama, Gemma, and Mistral, as well as customized domain-specific models developed for particular industries or use cases.

Security Architecture and Compliance Framework

Security across the stack is built on a zero-trust approach. BearingPoint specifies that this includes encryption at rest and in transit, hardware hardening, segmented network architectures, and strong identity and access mechanisms. For scenarios requiring the highest levels of isolation, the infrastructure supports air-gapped or highly isolated deployment configurations.

The stack is certified to ISO standards and is fully GDPR-compliant. BearingPoint states that deployments can be prepared to meet requirements under NIS2 and DORA on request, making the platform relevant for financial services firms and operators of critical infrastructure that must adhere to those regulatory frameworks.

The firm describes Governance and Compliance by Design as a core principle of the stack. The architecture is aligned to support compliance with the EU AI Act, GDPR, and sector-specific European regulations, with the ability to layer in additional regulatory readiness depending on client requirements.

Integration with GenAIQ and Existing Enterprise Systems

The sovereign infrastructure stack integrates with GenAIQ, BearingPoint's platform for orchestrating and automating generative and agentic AI applications. The firm says the combined offering enables clients to move from AI strategy through infrastructure design and implementation to the development and operation of specific use cases.

Tomas Chroust, Head of Center of Excellence for Modern Data Platforms at BearingPoint, said the new sovereign infrastructure, combined with local large language models and flexible access models, provides the foundation for securely scaling AI initiatives and embedding them in the core business.

Beyond GenAIQ, the stack is engineered to connect with existing enterprise IT environments, including networks, identity and access management systems, data lakes, ERP and CRM platforms, and current security and monitoring solutions. BearingPoint positions this interoperability as critical for organizations that need AI capabilities without overhauling their broader IT architecture.

Target Markets and Industry Verticals

BearingPoint has identified five primary customer segments for the sovereign infrastructure stack: public administration, defense and homeland security, financial services, healthcare and life sciences, and critical infrastructure operators.

These sectors share a common characteristic in that they operate under strict regulatory regimes and handle data categories that carry elevated legal and security requirements.

The platform's emphasis on EU jurisdiction, regulatory alignment, and physical infrastructure ownership is positioned as a direct alternative to reliance on hyperscale cloud providers headquartered outside Europe.

BearingPoint frames the offering as addressing not only current compliance requirements but also longer-term risks tied to geopolitical shifts and vendor dependency.

Further details about the sovereign infrastructure stack are available through BearingPoint's GenAIQ portal at genaiq.bearingpoint.com.

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