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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.
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Frequently asked questions
Engineering, QA, platform, and data teams all use Tonic.ai solutions to accelerate development cycles, reduce defects, and ship features faster without compromising security.
Tonic.ai provides safe, realistic synthetic data to allow developers to build, test, and iterate without relying on production data. Teams can work faster while avoiding privacy, security, and access bottlenecks.
Using real user data in development environments increases exposure to PII, creates compliance risk, and slows teams due to access controls. Tonic.ai removes this risk by providing privacy safe data that behaves like production.
Yes. Tonic.ai integrates into automated pipelines so fresh, realistic datasets can be generated on demand for testing, feature development, and regression workflows.
Tonic.ai preserves relationships, constraints, and edge cases across complex schemas, ensuring applications behave consistently from development through production.
Make your sensitive data usable for software and AI development.
