Why Validata Sense.ai
Turns manual testers to automation experts
Enables manual testers and business analysts to make automation that is maintainable and resilient, without the need for programming moving away from fragmented methodologies,
Automated test case and data generation
It enables automated test case and data generation with proven risk coverage assurance. Enables to generate synthetic sets of quality data and centrally manage data changes without impacting the test cases.
Seamless CI/CD integration
DevOps and Agile ready. It seamlessly integrates with your existing CI/CD pipeline and DevOps tools such as Jira, Jenkins, Microsoft Azure and more, connects to Open APIs, making test automation an integral part of the development lifecycle.
AI & ML at the core
AI-powered, no-code, model- based automation with self-healing and self-learning capabilities. It finds the optimal tests to maximise business coverage and defect detection at a given time, resources and budget constraints, and optimizes test execution ensuring high risk coverage in less time, with less resources and less testing!
Focused on Business Processes
It reconstructs your end-to-end business processes from your actual data, quantifying process inefficiencies and automation potentials in terms of ROI and process performance. More than 800 banking business processes are pre-built in the platform, linked to requirements and test cases, to accelerate any project!
End-to-end Testing
It delivers end-to-end business testing across different interfaces, platforms, payment hubs and mobile, reusing the same test cases. Tests can be executed through Validata or any other execution engine.
AI-driven Insights
Enables reliable predictions and generates actionable insights and justified suggestions, providing ‘a single version of the truth’ across all your toolchain and projects.
AI-automated defect detection and Root cause analysis
It utilizes machine learning models and advanced algorithms to truly causate and automatically drive to the precise root cause of the issues, enabling the defect assignment to the correct team. That reduces defect turnaround time and improves productivity
The ROI challenge answered
Validata Sense.ai tests end-to-end core banking and an infinite number of web and mobile applications in a fraction of the time taken using manual or traditional scripting tools.
Using intelligent automation, model-driven, powered by RPA and machine learning, it increases the speed of testing by up to 25 times bringing down the costs of QA by 90%
95%
Reduced Test Design Effort
20x
More productive
5x
Testing & Development Efficiency
25x
Delivery Speed
4x
Risk Coverage
90%
QA Cost reduction
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