Financial services data de-identification for software testing and AI model training
Accelerate development and unblock innovation by powering your lower environments and AI workflows with synthetic finance data that mirrors production complexity.
Optimize finance data generation to maximize developer productivity
Rapid data refresh
De-identify and generate realistic financial data in a fraction of the time required by legacy tools to rapidly refresh your lower environments and fuel AI initiatives with high-fidelity, compliant datasets.
Accelerated development
Enable efficient shift-left testing with fully representative synthetic financial data that captures all edge cases across cloud and mainframe data sources without introducing complexity into your workflows.
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Guaranteed compliance
Apply regulatory-specific data transformations to de-identify PII throughout structured and unstructured data, ensuring data privacy compliance with PCI and global regulations, and eliminating risk in development and AI workflows.
Consistent data de-identification across databases
Work across data sources to apply granular data masking and synthesis techniques that ensure input-to-output consistency and preserve referential integrity within your structured, semi-structured, and unstructured data.
Patented database subsetting
Shrink petabytes of data down to targeted gigabyte datasets to minimize your data footprint without breaking referential integrity for streamlined testing, efficient debugging, and reduced risk of data leaks.
Optimized performance for petabyte scale
Eliminate lags in data provisioning with data generation solutions specifically architected to support large data volumes, so that data access is never a bottleneck to efficient development.
Built-in data governance tools for visibility and security
Standardize rules for data generation to enforce security policies, and access privacy reports and audit trails with customizable RBAC to monitor and validate adherence to privacy compliance throughout your data pipelines.
Cross-platform integrations with enterprise systems
Support for all the leading data sources, from the cloud to mainframe to files, and a fully accessible API enable seamless integration with your databases, CI/CD workflows, and automated test suites.
"The faster lead time that we have with QA, the more things we can test in a day, the faster we can release and at higher quality than ever before."
Make sensitive financial data usable for software and AI development.
