Syntho is a self-service platform specializing in the generation of synthetic data to accelerate data-driven solutions. Synthetic data mimics the statistical patterns of original data, substituting sensitive personally identifiable information (PII), making it invaluable for privacy-conscious segments like healthcare and finance.

Syntho’s software offers several options for test data management, enabling users to generate synthetic data based on rules and constraints, de-identify and synthesize test data that reflects production data, and create representative subsets from a relational database.

Beyond data generation, Syntho is also capable of smart de-identification, using an AI-powered PII scanner to automatically identify and modify sensitive data.

Users can assess the quality of generated synthetic data in terms of accuracy and speed, with external validation available from SAS. The platform also offers time series synthetic data synthesis and synthetic mock data generation capabilities, preserving the integrity of relational data ecosystems despite alterations.

The platforms ‘Syntho Engine’ supports a variety of data types and offers features such as deployment and integration assistance, and source data and target environment connectors.

User documentation and support are provided to guide usage, while live demos are available for those seeking visual assistance with the tool.