Introduction

The Aindo Synthetic Data platform is a web application that empowers users to generate synthetic data that closely mimic real-world datasets, while maintaining privacy and statistical accuracy.

The platform is built around three key components that work together:

• Sources: the starting point of the synthetic data generation process. Sources represent the original datasets you want to synthesize and serve as inputs for creating generators. Learn more about managing sources here.
• Generators: AI models trained on your source data. Discover how to manage generators here.
• Synthetic Datasets: the final generated synthetic dataset, created using an existing generator. Find more details on managing synthetic datasets here.

The typical process for generating a synthetic dataset on the platform follows these steps:

1. Create a source by uploading or connecting to your original data.
2. Train a generator using the source data.
3. Generate synthetic datasets using the trained generator.

This workflow can be visually represented as follows: