Realistic and safe data for smart
Transform the way you manage your data, eliminating risks and improving efficiency in every development cycle
Generate secure and scalable test data everywhere, whenever you need it
Anonymize
Share datasets securely, complying with your country's regulations
Provide
Fast access to realistic test data, eliminating dependency on real data
Optimize
Automate data provisioning, reducing time and errors
Gigantics at a glance
Data classification
Identify sensitive data and classify tables from your data sources
Data transformation
Create transformation rules to automate anonymization and generate realistic synthetic data
Data provisioning
Load transformed data where you need it, automating with APIs from any CI/CD software
Deliver realistic data quickly and securely
Connect any data source, implement your data service strategy, and automate its provisioning
Use cases for realistic data
With simulated data that perfectly mimics production information, you can test, share data, and generate reports securely, scalably, and reliably
Realistic UI Testing
Test your user interface in a production environment and validate the quality of your user experience with extremely high data volumes
SQL Optimization
Improve the performance and quality of SQL query results in your application
Test Your Migrations
For each new version of the application or schema, we may need to test data migration changes and ensure that migrations do not break the application or take too long in the environment
Realistic Integration Testing
Test the integrated system and applications as if they were running in the production environment
Provision Environments Quickly
Provide instant, short-lived environments for testing or development
From Zero to Data
Experiment with simulated or realistic data for analysis, reporting, transformations, and business simulations
Risk-Free Data Sharing
Deliver data to people inside and outside your team or organization without fear of data leaks
ML/AI Training
Build more robust ML/AI data models by training with augmented datasets that are statistically sound
We generate average savings of $15 million and a 40% increase in application development productivity for leading companies in their sector