Synthetic Data Generation (SDG)

Sample use cases:

• AI/ML Training: Train models when real data is limited or sensitive.
• Data Augmentation: Expand and enhance datasets by adding synthetic samples.
• Anonymisation: Protect privacy by replacing sensitive information with synthetic counterparts.

Upload your real dataset and obtain AI-generated data that maintains the statistical properties of the original data, while ensuring that your sensitive information is protected. This reduces your attack surface and safeguards against potential data leaks.

The generated synthetic data can be downloaded in CSV format.

To get started using Mirage for synthetic data generation (SDG), you can refer to the following resources:

Quick Start: A step-by-step overview to help new users get started on Mirage.

Full User Guide: A detailed walkthrough for configuring Mirage to generate synthetic data for more advanced users.

Need help? Try our Support Assistant or visit the Support page.