Syntho
Syntho generates privacy-preserving synthetic data that maintains statistical accuracy while removing sensitive information.
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About Syntho
Syntho is a self-service platform built to accelerate data-driven initiatives by generating high-quality synthetic data. The platform creates datasets that mirror the statistical patterns of your original data while automatically removing personally identifiable information (PII), making it ideal for regulated industries like healthcare and finance where data privacy is non-negotiable.
The platform excels at test data management, allowing users to generate synthetic datasets based on custom rules and constraints. Its AI-powered PII scanner intelligently identifies and de-identifies sensitive data automatically, reducing manual effort and human error. Users can create representative subsets from relational databases and generate time series synthetic data while preserving the structural integrity of complex data ecosystems.
Syntho's Engine supports diverse data types and provides built-in quality assessment tools that measure accuracy and performance of generated datasets. The platform includes deployment and integration assistance, making it straightforward to connect source data and target environments. External validation through SAS partnerships allows organizations to independently verify synthetic data quality, building confidence in datasets used for development and testing.
Comprehensive user documentation and live demonstrations help teams get up to speed quickly. The combination of automated de-identification, constraint-based generation, and quality validation makes Syntho suitable for organizations seeking faster development cycles without compromising data protection standards.