Critical defects that slip into production. Blown up budgets. Destroyed timelines. The culprit? Test data management that just isn’t cutting it–but it doesn’t have to be this way.
No matter how you slice it, the current way to manage test data is destroying momentum with each cycle.
Up to 80% of QA effort is spent on data-related tasks
Inconsistent test data leads to repeated test failures
Undiscovered bugs increases the cost to fix issues by 5–10x
When your test data mirrors the complexity of real-world scenarios, you catch critical issues before they become expensive mistakes.
Stop wasting time on bad data—move forward with diverse, reliable test datasets.
Break through delays with data that’s always compliant and ready when you need it.
Solve problems before they reach production and deliver confidently every sprint.
Your team is stuck in a broken cycle: bad test data leads to failed tests, delayed sprints, and higher costs. Tonic.ai breaks the cycle with realistic, compliant datasets that scale effortlessly. Catch critical issues before they hit production, eliminate delays, and keep your team focused on building great software.
AI-powered synthetic data from scratch and mock APIs
Modern test data management with high-fidelity data de-identification
Unstructured data redaction and synthesis for AI model training
Tonic Structural supports leading databases, like MySQL, PostgreSQL, SQL Server, and Oracle, offering seamless synthetic data generation and management for all your development and testing needs.