Features

Test Case Generation (Gen AI)​

Automatically extract requirements from product documents​
Gather relevant project information from knowledge base​
Generate accurate & detailed test cases​

Test Script Generation (Gen AI)​

Automatically generate test scripts from detailed descriptions​
Chat with the codebase to get code insights​
Validate code against custom coding styles and rules​

Self-healing (Machine Learning)​

Automatically detect broken/changed UI elements​
Auto-repair UI elements, ensuring continuous test execution
Report broken and repaired UI elements in details

Test Result Analytics (Machine Learning)

Automatically collect test results and logs​
Intelligently analyze and classify failures​
Visualize test reports on dashboard​

Benefits

Save 40% effort on writing test case​

Instead of manually reading and analyzing requirement documents, AI can automatically extract key requirements and generate accurate, detailed test cases.​

Save 70% effort on test maintenance due to UI changes​

With self-healing, tests continue to execute even when UI elements change or break. This reduces maintenance effort and prevents non-product-related failures during the test pipeline.​

Save 50% effort on developing test script​

Instead of manually reading test descriptions and writing scripts - which is time-consuming and error-prone - AI can generate scripts with proper code reviews, aligned with your coding styles and rules.​

Save 50% effort on test result analysis and report​

The solution integrates with various frameworks to automatically collect and visualize test results in dashboards and charts. It also auto-analyzes failures and classifies them into three major defect types: Product, Code Logic, and System.​