.svg)
Eliminate data bottlenecks to maximize developer productivity
Streamline data access
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.
Enable shift-left testing
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 developer-friendly compliance
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.
Realistic data masking that preserves utility
Mirror relationships within your de-identified test data and preserve consistency across tables and databases, ensuring seamless integration into local development environments.
Patented subsetting for manageable datasets
Get targeted, referentially intact datasets, shaped and sized to your needs and de-identified on demand, to maximize your efficiency and minimize your risk.
Unstructured data extraction and de-identification
Extract free-text data from wherever it’s stored, detect sensitive information via proprietary NER models, and synthesize replacements to generate compliant unstructured datasets.
Relational database generation to unblock innovation
Create scalable datasets with full relational integrity across unlimited tables and domains to turbocharge development and testing.
.png)
Make your sensitive data usable for software and AI development.
