Generate de-identified data that mimics production or spin up synthetic databases on demand to accelerate development and get quality products to market faster.
De-identify and generate data for development in a tenth of the time required by legacy tools to rapidly hydrate your lower environments with quality data on demand.
Catch bugs earlier with de-identified test data that covers all edge cases, and reproduce bugs more effectively using targeted subsets for shift-left testing.
Achieve compliance without slowing down development by automating de-identified test data. No more PII in lower environments; no more waiting weeks for data access.
Mirror relationships within your de-identified test data and preserve consistency across tables and databases, ensuring seamless integration into local development environments.
Get targeted, referentially intact datasets, shaped and sized to your needs and de-identified on demand, to maximize your efficiency and minimize your risk.
Extract free-text data from wherever it’s stored, detect sensitive information via proprietary NER models, and synthesize replacements to generate compliant unstructured datasets.
Create scalable datasets with full relational integrity across unlimited tables and domains to turbocharge development and testing.
For structured and semi-structured data de-identification
For unstructured, free-text data de-identification
For ephemeral data environments
For structured and semi-structured data de-identification