Give developers and data scientists the tools they need to model, shape, and size the data to their specific requirements.
Create realistic test data based on your data, preserving critical relationships and maintaining input-to-output consistency across tables and databases.
Employ neural networks to mirror complex relationships throughout your data. Answer nuanced scientific questions, optimize business processes, and support business decisions with synthetic data that delivers real-world results.
Automate sensitive data detection and schema change alerts, to protect against leaks and breaches.
Get an added layer of security with RBAC and audit trails for full visibility and governance throughout your data generation pipeline.
Apply differential privacy to ensure the strongest degree of protection and satisfy the requirements of GDPR, CCPA, HIPAA, and every other regulation on the horizon.
Subset across tables and across databases—even of different types—to get just the slice of data you need, with referential integrity fully intact.
Either way, we’ll traverse dependencies to get you everything you need and nothing you don’t.
These datasets are tailor-made to safely fit on your developers’ laptops and specifically target the bugs you need to fix.
Generate data that is realistic and consistent no matter where it lives. Support for all of your databases = support for all of your data, all of your teams, and all of your use cases.
Integrate your test data pipeline seamlessly into your CI/CD workflows, so everyone on your team has the data they need, when they need it.
Access every feature by way of the API. Set up webhooks and post-job scripts to further automate your data pipeline.
Enable your developers, unblock your data scientists, and respect data privacy as a human right.