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Reliable, compliant datasets for effective AI

Data support

Build AI on clean, compliant data. We help you catalogue, enrich and curate datasets across the lifecycle, with privacy-preserving options and rigorous validation. Use our Metadata Catalogue to see what is available and rely on our experts to prepare sensitive or fragmented data for training — aligned with regulatory expectations and your sector needs.  

What this service covers, and why it matters 

High-quality data drives model performance, and poor data amplifies risk and cost. We help you manage data end-to-end - cataloguing, enrichment, standardisation and curation - so your teams can train models faster and more reliably.  

Additionally, when working with sensitive information, you can leverage privacy-preserving methods - pseudonym management, anonymisation and synthetic data - to protect individuals while maintaining learning value. 

Here is data users However, access and compliance can slow projects. We streamline discovery via a Metadata Catalogue using recognised standards, clarify use conditions and guide access requests, including secure processing options when needed. 

As your use cases scale, our approach follows findable, accessible, interoperable and reusable (FAIR) and DCAT-AP principles for better findability and interoperability, improving readiness for AI training and audit documentation.  

How the AI Factory can help 

  1. Metadata Catalogue and discovery: understand what data exists, how to use it and under which conditions.  
  2. Lifecycle services: catalogue, enrich, merge and curate datasets, then validate fitness for model training.  
  3. Privacy-preserving options: pseudonymisation and synthetic data to reduce exposure while sustaining utility. 
  4. Request access management: standardised processes and guidance to expedite sensitive-data requests.  
  5. Secure processing: route approved data into a secure processing environment when required.  

Services

Data access condition standardisation

We help you put consistent processes in place to accelerate sensitive data access requests and reduce compliance friction.

Data cataloguing

We identify, organise and maintain internal data so training assets are visible and usable via the Metadata Catalogue.

Data extraction, enrichment and merging (DEEM)

We support you in consolidating sources and enhancing attributes to raise dataset quality for AI.

Identifier and pseudonym management

We help you manage identifiers responsibly and apply pseudonymisation patterns fit for AI development.

Data quality and curation

We assist you with improving data representativeness and reliability through cleaning, balancing and documentation.

Synthetic data factory

We make it possible to generate realistic synthetic datasets to augment training while protecting confidentiality.

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.