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Synthetic Data Factory

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

What it is and why it matters

Access to sensitive datasets is often restricted due to privacy or regulatory constraints. Synthetic data can help address this challenge by reproducing the statistical relationships present in real datasets without exposing the original sensitive data.

By generating synthetic datasets, organisations can analyse data patterns, test algorithms, and develop AI models while reducing the need to access sensitive information.

How can Luxembourg AI Factory help 

We support organisations in generating synthetic datasets that mimic the underlying relationships present in the original data.

Geolocalisation and socio-economic features can be incorporated into the generated datasets, enabling meaningful analysis while supporting the secondary use of data without requiring access to sensitive datasets.

This capability builds on the Synthetic Data Factory service delivered by Luxembourg National Data Service (LNDS).

What you can expect 

  1. Synthetic datasets for analysis and testing
    Datasets generated to reproduce the statistical relationships present in the original data.
  2. Protection of sensitive information
    Synthetic data preserves analytical value while preventing exposure of sensitive datasets.
  3. Inclusion of geospatial and socio-economic features
    Synthetic datasets can incorporate relevant characteristics to support meaningful analysis.
  4. Support for privacy-preserving data exploration
    Enables experimentation and AI development without direct access to sensitive data.

Who it is for

Organisations that need to analyse data or develop AI models while avoiding direct access to sensitive or restricted datasets.