Synthetic Data for Test Data
Generate representative Synthetic Test Data for non-production environments to deliver and release state-of-the-art software solutions
Book a demo
Core Value Proposition
Deliver software solutions easier, faster, and with higher quality with representative
synthetic test data
Improve test, development and delivery quality
Excessive data volumes can lead to high infrastructure and computation costs, which are unnecessary for test data in non-production.
Utilize test and development resources smarter
Managing huge data volumes in non-production environments poses challenges for testers and developers. Smaller and thereby.
Higher Net Promoter Score (NPS)
Smaller data volumes facilitate faster and more straightforward setup and maintenance of non-production test environments.
Release faster and shorten the time-to-market
Synthetic data accelerates test and development cycles allowing for a shorter time-to-market.
Spot bugs faster and earlier in the development
Synthetic data can simulate a wide variety of edge cases and real-workd scenarious early in development, helping to identtify bugs and issues before they escalate.
Successful deployments on the first try
By testing with representative and reliable synthetic sata, you increase the chances of error-free production releases the first time, reducing post-release fixes.
Test Data Challenges
Deliver software solutions easier, faster, and with higher quality with representative synthetic test data
Test data does not reflect production data
- Business logic is not preserved and data does not reflect production data
- No referential integrity and consistency over datasets / databases / systems
Test data takes time and manual work
- Many manual configurations are needed from your developers
- Unstable self-build solutions introduce continuation risks
Test data does not cover new scenarios
- Production data does not cover for hypothetical future scenario’s
- For new functionalities, you do not have data at all
Our solution: Test Data Management
De-identification & Synthetization
Utilize our best-practice solutions to generate test data that reflects production data for comprehensive testing and development in representative scenarios.
Rule Based Synthetic Data
Create synthetic data based on pre-defined rules and constraints, aiming to mimic real-world data or simulate specific scenarios.
Subsetting
Reduce records to create a smaller, representative subset of a relational database while maintaining referential integrity
Save your synthetic data guide now
What is synthetic data?
How does it work?
Why do organizations use it?
How to start?
Why do organizations use our Test Data Management Solutions?
Privacy-by-design and Production-like data
- Production-like synthetic test data generated based on your production data by the power of AI
- Preserved referential integrity for consistency over datasets / databases / systems
Easy, fast and agile
- Seamlessly refresh of your entire test environment
- Replace and minimzie manual work with AI
- Make your test data manageable
Test Data coverage for hypothetical scenarios
- Cover any hypothetical future scenario
- Full flexibility with rule bases generated synthetic data
- Create synthetic data from scratch, in case you do not have data (yet)
