Your teams work hard, and so do we. All the tools you need to safely and securely mimic your data, now available in a single platform.
Practical, scalable fake data that behaves just like the real thing. It’s basically production data—with none of the security risks, none of the management costs, and all the enterprise capabilities. (And yes, we mean ALL.)
Work across databases of multiple types to apply pioneering data synthesis, de-identification, and subsetting solutions, and generate realistic datasets tailored to each of your teams’ needs. Hydrate staging environments, equip offshore developers, and build effective ML training models with safe, useful data you can rely on.
From deploying on-premises to applying the mathematical guarantees of differential privacy, achieve compliance throughout your data generation pipeline. Safeguard against leaks, breaches, and costly fines with data that is safe to share across your organization and across international borders.
Commenting, SSO, RBAC, and audit trails provide security, governance, and visibility every step of the way. Support for all the leading databases and connectivity by way of API and webhooks enable seamless integrations within your CI/CD workflows.
Use test data that looks, acts, and behaves like production in staging—because it’s made from production data.
Use test data that looks, acts, and behaves like production in staging—because it’s made from production data.
One platform for all your de-identification, synthesis, and subsetting needs, with compliance baked in.
Big data, who? Help your team with only the data they need with subsetting and workspace management.
Seamlessly integrate safe test data into your development process, without impacting downstream or production databases.
Compliant de-identification, with regulation-specific data generators for the safest data sharing money can buy.
Unparalleled visibility across your de-identification infrastructure and practices, thanks to Admin roles, RBAC, and audit trails.
Enable your developers, unblock your data scientists, and respect data privacy as a human right.
