Syntho is a platform for generating synthetic data that mimics real data while preserving privacy, letting organizations create realistic test data safely without exposing sensitive information.
Synthetic Data Masking protects sensitive information by removing or modifying personally identifiable information through scanning, mock data generation, and consistent mapping. Rule-Based Synthetic Data generates data using predefined rules, formulas, and patterns with subsetting capabilities, and AI-Generated Synthetic Data uses AI to mimic real statistical patterns, complete with quality assurance reporting, time-series support, and upsampling. The platform deploys inside a customer’s own environment, connecting to existing databases via out-of-the-box connectors with UI or API automation.
Syntho targets development teams building production-like test data, product teams validating new features, sales and demo teams preparing tailored demonstrations, data analysts and researchers building sandboxes, and enterprises in healthcare, finance, software, and public sectors. The company states transparent pricing with no usage-based fees or hidden costs; specific tiers aren’t detailed on the homepage.
