Generators Introduction

Generators are a key component of the Aindo Synthetic Data platform, with each type leveraging different techniques to generate the output data.

This section guides you on creating, using, and managing generators.

• View a generator
• Manage generators
• Working with generators
• Quota and limits

There are three types of generators:

• Synthesis generators: An AI model trained on a data source to generate synthetic data that retains the statistical properties of the original dataset.
• Semi-synthetic generators: A hybrid approach that combines real data (context) with synthetic data generation, preserving some columns while generating others.
• Anonymization generators: A generator to pseudo-anonymize columns in your original dataset.