The all-in-one synthetic test data platform for developers

Tonic Structural is a data de-identification platform designed to protect sensitive structured and semi-structured data while preserving schema accuracy and data usability. It applies advanced, secure transformations directly to existing datasets rather than generating entirely new records.

Tonic Structural is widely used in highly regulated industries like finance, insurance, and healthcare where strict privacy controls are required but data realism is key for software development and testing.

Tonic Structural integrates into CI/CD pipelines and data governance programs, enabling repeatable, policy-driven data protection that scales across teams and environments.

Yes. Tonic Structural maintains primary and foreign key relationships across complex schemas, ensuring applications and tests behave as expected after data is de-identified.

Teams should use Tonic Structural when they need to maintain the intricate business logic and referential integrity of their existing production data. Structural’s high-fidelity approach ensures that teams can catch complex, real-world edge cases and troubleshoot production-level issues with datasets that are firmly representative of actual user behavior.

Tonic Structural uses configurable techniques such as masking, tokenization, generalization, scrambling, and format-preserving encryption. These transformations ensure sensitive fields are protected while maintaining realistic formats, relationships, and constraints required for downstream systems.