Vitaq AI automatically generates exploratory tests and optimizes test execution to find defects and maximize coverage of user journeys
Vitaq AI, is a new model based AI-driven test automation tool that works seamlessly with Selenium, Appium, Scriptworks, all CI tools, Applitools and Saucelabs. Delivered in Docker for Mac, Windows and Linux. Vitaq has been developed to increase UI and API test creation productivity and find software functional bugs that other approaches miss.
AI-driven, Coverage-led | Continuous autonomous testing with JavaScript, Python or NoCode
Vitaq AI demo
Demonstration of Vitaq AI continuous autonomous testing using Appium and Selenium
Our Business
How We Got Here
We’re a small group of computer scientists with a ground breaking idea designed to contribute towards better software quality. We invented a continuous exploratory model-based test activity technique for testing software systems. Over several years we have helped successfully deploy this technique on some of digital industries most difficult test problems. Finding defects that other approaches miss and helping to auto-generate millions of new effective tests. Now after ten years of innovating and four generations of the tool, we have extended this powerful auto-test generation technique into AI machine learning algorithms, visual programming and user-journey coverage metrics making it easy to use, low cost and a highly productive test automation tool.
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What We Do
Our intelligent model-based test activity diagram describes the user journeys and scenarios required to test your UI, API or Software System.
The Vitaq user selects which user-journeys to focus test execution for and the machine-learning algorithms will optimize the auto-generation of tests to ensure maximum QA coverage with the optimal number of tests.
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Our patented dynamic user-journey variability approach will continuously explore your test space with elastic bot-cohorts to find defects that other approaches miss
All the time Vitaq is running it will monitor, measure and analyse the increase in your user-journey and QA coverage.
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