Syntho

Syntho is a synthetic data platform from an Amsterdam-based company. It generates data that mimics real data, so teams can test, develop, demo and share data without exposing sensitive information. The platform is deployed in the customer's own environment.

What It Is

Syntho Engine is a synthetic test data management platform that brings three generation approaches together: synthetic data masking, rule-based synthetic data and AI-generated synthetic data. Users can switch between methods or combine them in a single run, depending on the use case.

How the Workflow Runs

The site describes a five-step flow. Syntho is deployed in the customer's own environment, then connected to source and target databases through out-of-the-box connectors. Users select a synthesis method or combination of methods through the user interface or the API. Recurring generation jobs can be automated through the UI or API, and the resulting data is then used or shared.

Generation Methods

• Synthetic data masking: Includes a sensitivity scanner, synthetic mock data and consistent mapping to protect sensitive information.
• Rule-based synthetic data: Uses formulas, patterns and subsetting, driven by predefined rules and constraints.
• AI-generated synthetic data: Mimics the statistical patterns of the original data, with a quality assurance report, upsampling and an AI assistant.

Use Cases

Syntho lists production-like test data, product and feature development, tailored product demos, faster data access, data sharing and protection, and analytics and AI modeling. The site also highlights referential integrity and consistent data across environments for testing. Related platform pages cover a REST API, a privacy audit report, team collaboration with access control, and foreign key management.