Synthetic Data Engineering

Synthetic Data Engineering is the consulting and implementation service behind Synthetic Data Studio. We work with your data engineering and compliance teams to design generation pipelines that produce training data indistinguishable from real data — without containing any real records.

Custom Synthetic Pipelines

Every organisation's data has unique statistical characteristics that off-the-shelf synthetic data tools struggle to preserve. Our engineers analyse your production data distributions, design custom generation models, and build pipelines that produce synthetic datasets validated against your specific quality criteria.

Service Scope

• Data Analysis: Statistical profiling of production datasets to identify distributions, correlations, and edge cases
• Pipeline Design: Custom generation architecture for your specific data types and privacy requirements
• Validation Framework: Statistical tests and privacy guarantees with formal differential privacy bounds
• Integration: Connect synthetic data pipelines to your CI/CD and model training workflows