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Reliable, compliant datasets for effective AI

Data support

Build your AI models on reliable, compliant datasets with comprehensive data management and curation services.

What it is and why it matters 

High-quality data is essential for effective AI — our data support services help you standardise and manage datasets throughout the development lifecycle. Whether you're working within our four key verticals (finance, space, cybersecurity, and green economy) or seeking alternative data sources, we help ensure your datasets are properly prepared for AI model training.

The Luxembourg AI Factory Metadata Catalogue provides extensive visibility of available data, while our specialised services support data preparation, validation, and compliance requirements. You gain the tools and expertise needed to transform fragmented or sensitive data into training-ready resources that can improve model performance while maintaining regulatory alignment, facilitating the success of your AI business solution from data foundation through to deployment.

What you can expect

  1. Complete data lifecycle management: tools and expertise for cataloguing, enrichment, standardisation and curation across all development stages.  
  2. Privacy-preserving solutions: synthetic data generation and pseudonym management help protect sensitive information while maintaining model effectiveness.
  3. Quality assurance: systematic approaches to data validation help ensure models are trained on reliable, diverse, and representative datasets.
  4. Compliance-ready: data handling practices support alignment with regulatory requirements, reducing compliance risks throughout development. 
  5. Performance optimisation: well-managed datasets can improve model accuracy, reduce training time, and accelerate development cycles.  

Services

Data access request review (DARREV)

Support for organisations in preparing compliant data access requests for restricted datasets and providing the information needed to evaluate them.

Data Catalogue Tool

The Data Catalogue Tool provides access to a structured metadata catalogue that helps organisations discover and evaluate datasets relevant for AI development and research.

Data extraction, enrichment and merging (DEEM)

Support for organisations in extracting, enriching, and combining data from multiple sources in line with the data minimisation principle.

Identifier and pseudonym management

Support for organisations in pseudonymising identifiers and enabling privacy-preserving data linkage across datasets.

Data quality and curation

Support for organisations in assessing, improving, and preparing datasets for AI model training.

Synthetic Data Factory

Support for organisations in generating synthetic datasets that reproduce statistical patterns of real data while protecting sensitive information.

Intelligent data searching system

We help you locate relevant assets across EU and national data spaces with clear conditions of use.

Related enablers you can combine with Data support: Data Catalogue Tool and Secure Processing Environment (SPE) for compliant access and processing.