Migrate AI workloads from global clouds to sovereign infrastructure for full jurisdictional control and compliance.
Services

Migrate AI workloads from global clouds to sovereign infrastructure for full jurisdictional control and compliance.
Migrate your AI data and models to air-gapped private clouds or sovereign providers in under 8 weeks, ensuring all processing remains within mandated borders.
We execute a zero-downtime migration of your existing AI workloads, including:
This transition locks your proprietary contextual data within sovereign borders while maintaining operational performance.
Our migration delivers:
We provide the technical architecture to replace global cloud dependencies with sovereign control, a critical step in Geopatriated Data Lake Design.
Migrating AI workloads to sovereign infrastructure is a complex technical undertaking. We deliver measurable business value by ensuring compliance, enhancing security, and maintaining operational excellence.
Achieve full compliance with data residency mandates like the EU AI Act, China's DSL, and India's DPDPA. We architect systems where data and processing remain within sovereign borders, eliminating regulatory risk and enabling market access.
Deploy AI inference closer to your regional users and data sources. By leveraging local sovereign clouds, we eliminate the latency and egress costs associated with global hyperscalers, improving application performance and reducing TCO.
Mitigate supply chain and geopolitical risks by air-gapping critical AI models and training data. Our migration designs incorporate confidential computing and hardware security modules (HSMs) to protect intellectual property from external threats.
Leverage our pre-built blueprints and automation for sovereign cloud providers like OVHcloud, Gaia-X, and Yandex Cloud. We streamline the migration of complex data pipelines and ML workloads, moving from assessment to production in weeks, not months.
Build a flexible foundation that adapts to evolving regulations. Our designs enable seamless integration into federated learning systems and allow for dynamic, policy-driven workload placement across a hybrid of sovereign and private infrastructure.
Maintain the performance of global models while keeping data local. We implement advanced techniques like federated learning and secure multi-party computation, allowing your sovereign AI to contribute to and benefit from aggregated intelligence without data exchange.
A structured, risk-managed approach to migrating your AI workloads from global public clouds to sovereign infrastructure. Each phase delivers specific, measurable outcomes.
| Phase & Key Activities | Timeline | Primary Deliverables | Success Metrics |
|---|---|---|---|
Phase 1: Discovery & Compliance Mapping | 2-3 weeks | Sovereignty Gap Analysis Report, Data Lineage Map, Jurisdictional Risk Assessment | 100% of data assets cataloged, Legal requirements mapped to technical controls |
Phase 2: Architecture & Landing Zone Design | 3-4 weeks | Sovereign Cloud Blueprint, Security & Access Control Matrix, Data Residency Gateway Design | Architecture approved by legal & security teams, All data flows defined |
Phase 3: Pilot Migration & Validation | 4-6 weeks | 1-2 Critical Workloads Migrated, Performance Baseline Report, Rollback Playbook | Pilot workloads operational with ≤5% latency increase, 99.9% uptime SLA met |
Phase 4: Full Production Migration | 6-10 weeks | All AI Models & Pipelines Migrated, Automated Compliance Monitoring Dashboard, Operational Runbooks | Zero data sovereignty violations, Full cutover with <2 hours downtime |
Phase 5: Optimization & Federated Integration | Ongoing | Cost-Optimized Resource Scaling, Federated Learning Node Setup (Optional), Continuous Compliance Auditing | 20-40% reduction in sovereign cloud spend, Secure model sharing enabled |
Ongoing Support & Governance | Post-Migration | Dedicated Technical Account Manager, Quarterly Security Reviews, Access to Sovereign AI Updates | Proactive issue resolution, Adherence to evolving regional mandates |
Global enterprises in regulated sectors face mounting pressure to relocate AI workloads from public clouds to sovereign infrastructure. These industries require proven migration expertise to maintain innovation while ensuring full jurisdictional control over data and models.
Migrate algorithmic trading, fraud detection, and customer analytics to air-gapped sovereign clouds. Ensure transaction data and proprietary risk models never leave national borders, complying with FINRA, MAS, and EU financial regulations.
Our team has executed migrations for tier-1 banks, achieving zero data residency violations post-migration.
Secure patient EHR data, genomic sequences, and clinical trial models within sovereign healthcare clouds. Our migration services enforce HIPAA, GDPR, and country-specific health data mandates, enabling compliant AI for diagnostics and drug discovery.
We implement confidential computing enclaves within sovereign infrastructure to protect data in use.
Deploy AI for geospatial intelligence, secure comms, and autonomous systems on air-gapped, sovereign infrastructure certified for classified data. We specialize in migrating sensitive workloads from commercial clouds to government-accredited facilities.
Our architectures are designed to meet ITAR, EAR, and national defense cloud standards.
Migrate citizen service AI, predictive analytics, and administrative automation to national sovereign clouds. Ensure public data remains within jurisdiction, adhering to the EU AI Act, US Executive Order 14110, and local digital sovereignty laws.
We provide full-stack migration, from data pipeline repatriation to model re-hosting.
Protect proprietary designs, supply chain models, and operational data by migrating Industrial AI and digital twins to regional private clouds. Maintain competitive advantage and comply with cross-border data transfer restrictions for IoT telemetry.
Our engineers specialize in migrating complex, stateful AI workloads with minimal downtime.
Secure privileged client communications, contract analysis AI, and litigation prediction models within jurisdictionally locked infrastructure. Our migrations ensure attorney-client privilege is technically enforced, meeting bar association and global data protection rules.
We implement granular data governance and immutable audit trails post-migration.
Answers to common questions about migrating AI workloads to sovereign or private infrastructure, ensuring compliance and control.
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