Testing as a Service
Deliver reliable, scalable products with comprehensive testing across the development lifecycle.
Challenge to solution:End-to-end testing for high quality deliveries
Functional and non-functional validation
Manual testing cycles slow down releases and miss key risks
Automate comprehensive functional and non-functional testing aligned to release goals
Regression testing
Frequent changes introduce untested regressions across modules
Implement automated regression testing pipelines using CalTIA and continuous validation models
Scalability and load testing
Applications fail under real-world usage spikes and stress conditions
Simulate load, conduct stress tests, and optimize scalability bottlenecks pre-deployment
Test impact analysis
Testing cycles are long and inefficient without focusing on high-risk areas
Apply ML-driven test impact analysis to prioritize critical test cases dynamically
QAOps integration
Testing remains siloed, slowing DevOps and CI/CD pipelines
Embed QA into DevOps workflows through QAOps frameworks and shift-left testing
Functional and non-functional testing
Ensure functionality, security, and usability across every stage of product development.
What we do:
- Test all modules for expected use
- Check security, speed, and usability
- Start testing early to find bugs fast
Business impact:
- Fix issues before code goes live
- Meet user and system needs fully
- Launch stable apps, every time
CalTIA | Automated regression testing
Speed up releases with intelligent, risk-prioritized automated regression testing.
What we do:
- Run risk-based regression with CalTIA
- Sync tests with build pipelines
- Track test changes by version
Business impact:
- Quicker test cycles per release
- Save effort with focused tests
- Stop regressions before release
Load and stress testing for scalability
Validate application performance and resilience under real-world and extreme load conditions.
What we do:
- Simulate user peaks and traffic loads
- Push systems to find weak points
- Tune based on stress test results
Business impact:
- Handle traffic without failure
- Find scale limits before users do
- Plan capacity with real data
Want to achieve 90% test automation coverage with CalTIA?
Test impact analysis using ML models
Prioritize high-risk areas and streamline validation with ML-driven test impact analysis.
What we do:
- Use ML to flag risk areas post-change
- Cut unnecessary test cycles
- Update test focus using system learnings
Business impact:
- Test smarter for higher efficiency
- Less user downtime or wait time
- Testing improves over each cycle
QAOps with CI/CD pipeline integration
Integrate testing seamlessly into DevOps workflows for faster, reliable releases.
What we do:
- Embed tests into DevOps workflows
- Run tests early and post-deploy
- Set quality gates into each stage
Business impact:
- Stop bugs quickly and decisively
- Faster, tested code in pipeline
- Live systems stay dependable
Product and ecosystem benchmarking
Test product performance, quality, and scalability against industry standards and best practices.
What we do:
- Compare performance to market norms
- Test product fit in wider platforms
- Find gaps using benchmark reports
Business impact:
- Know how you stack up in market
- Improve readiness for platform use
- Spot areas that limit adoption
