Manual test data creation delayed releases and missed edge cases. Static datasets didn't reflect current application logic, and using production data posed compliance risks. Test engineers spent hours updating scripts for each new build. 

Solution 

Calsoft built an ML-powered test data generator that learned from application schemas and past failures. The system integrated with CI/CD pipelines to create context-aware datasets automatically. 

• Generate synthetic data aligned to current app logic 
• Trigger fresh test sets on every build 
• Learn from test failures to improve coverage 
• Apply data masking for compliance 

The framework reduced manual scripting and ensured test data matched real-world scenarios without exposing sensitive information.