
Syntho is an Amsterdam-based company specializing in AI-generated synthetic data software, enabling businesses worldwide to generate and leverage high-quality synthetic data at scale. Their platform, Syntho Engine, offers solutions for test data management, data masking, and AI-generated synthetic data, helping organizations protect sensitive information, accelerate development cycles, and enable data-driven innovation while ensuring privacy compliance. Syntho's technology mimics statistical patterns of original data to create realistic synthetic data twins, supporting various data types including time series and multi-table databases. The company is recognized for innovation and privacy, winning awards such as the Philips Innovation Award and being selected by NVIDIA as a leading Generative AI scale-up. Syntho operates with a feature-based licensing model and supports numerous database and filesystem connectors for seamless integration in customer environments.

Syntho is an Amsterdam-based company specializing in AI-generated synthetic data software, enabling businesses worldwide to generate and leverage high-quality synthetic data at scale. Their platform, Syntho Engine, offers solutions for test data management, data masking, and AI-generated synthetic data, helping organizations protect sensitive information, accelerate development cycles, and enable data-driven innovation while ensuring privacy compliance. Syntho's technology mimics statistical patterns of original data to create realistic synthetic data twins, supporting various data types including time series and multi-table databases. The company is recognized for innovation and privacy, winning awards such as the Philips Innovation Award and being selected by NVIDIA as a leading Generative AI scale-up. Syntho operates with a feature-based licensing model and supports numerous database and filesystem connectors for seamless integration in customer environments.
Headquarters: Amsterdam, Netherlands
Product: Syntho Engine — AI-generated synthetic data platform (test data management, masking, rule-based + AI synthesis)
Use cases: Privacy-preserving test & analytic datasets; in-environment deployment
Founders: Wim Kees Janssen; Simon Brouwer; Marijn Vonk
Recent disclosed round: Seed (Aug 1, 2023)
Data privacy, test data management, and enabling data-driven development/analytics without exposing sensitive production data.
2020
Synthetic data / Data privacy / Data management
“Cedars-Sinai; TIIN Capital”