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Build robust data foundations and connect AI reliably to your information systems.

Data management and information systems

Scale AI with reliable data plumbing and seamless system integration. We connect your models to enterprise data sources, orchestrate pipelines and align governance with Luxembourg’s regulatory context. Access sovereign compute and cloud services on MeluXina-AI, deploy consistently across environments, and keep data flowing securely from ingestion to production. Get the infrastructure and practices to run AI, every day.

What this service covers, and why it matters 

AI succeeds when data moves cleanly between sources, models and business apps. It fails when pipelines are brittle and systems don’t talk to each other. We help you integrate AI with existing databases and enterprise resource planning (ERP) systems, manage pipelines at scale and maintain governance by design. This service is for organisations that want production-grade data operations on sovereign infrastructure, without defaulting to hyperscalers. 

How the Luxembourg AI Factory helps 

  1. Enterprise data integration: connect AI workloads to databases, data warehouses and business applications via standardised APIs and integration frameworks.
  2. Data pipeline management: implement resilient ingestion, transformation and scheduling that preserve data quality as you add use cases.
  3. Information system compatibility: ensure your AI runs with legacy systems and modern cloud environments.
  4. Data governance alignment: secure and compliant by design. Tools and processes are adapted to Luxembourg’s regulatory environment.
  5. Operational data flows: establish sustained processes from raw data to model outputs, avoiding bottlenecks in production. 

Additionally, you can use sovereign compute and cloud on the MeluXina-AI supercomputer: high-performance storage, Kubernetes-based cloud-native tenants and managed services with single sign-on (SSO)/multi-factor authentication (MFA), security information and event management (SIEM) monitoring, encryption at rest/in transit and partitioning between supercomputing-native and cloud-native environments. 

What this service is for

  1. Consistent data movement between operational systems, data lakes and AI services. 
  2. Governed pipelines that preserve lineage, quality and compliance throughout the AI lifecycle. 
  3. Reproducible deployment pathways from supercomputing training to cloud-native inference. 
  4. Reduced reliance on international hyperscalers via sovereign alternatives and local service level agreements (SLAs).