Vitaq AI is a cloud SaaS Test Automation tool that extends WebdriverIO with AI reinforcement learning technology.
Our activity diagram based test automation tool uses these AI machine learning algorithms to auto-generate tests.
A single diagram of Spec action to next allowable action will generate many highly variable end-to-end web & mobile app tests improving your end-to-end testing productivity by 10x and finding defects that other approaches miss.
Vitaq is an AI-powered test automation tool
that stands on the shoulders of the very popular open source giant of WebdriverIO end-to-end test automation framework for mobile and web app testing.
It uses AI and analytics to expand automation beyond test execution.
Vitaq has been developed to help QA and DevOps engineers test what matters. By capturing the most relevant test scenarios in a test activity map and integrating intelligent test data it will shorten your time to quality release by automating your exploratory testing.
AI-driven, Coverage-led | Continuous autonomous testing with WebdriverIO
How we got into App Test Automation
We started 10 years ago in the UK to develop a test automation tool for embedded software testing in Automotive and Electronic Systems. Vitaq was selected by market leaders Ericsson, Xilinx, Renesas (the NEC, Hitachi & Mitsubishi semiconductor company), Altran, AVL, WMG, IMG, Cascoda and many others.
Our small self-funded team created a healthy, profitable business. Vitaq Test Automation tool was voted innovation of the year and then software product of the year in 2016.
It was this level of recognition that got us noticed by King, the developers of Candy Crush gaming app. They challenged us to help automate the testing of some highly sophisticated apps. We instantly recognised the huge opportunity for our patented innovation. Building on the global open standard framework of webdriverIO we pivoted our development focus to web and mobile app testing leading to the roll-out of Vitaq AI in 2021.
What our AI Test Automation tool does
Our innovative approach uses a digital twin test activity diagram which captures the actions and transitions which describes how to test an application. When it runs, it uses AI machine learning to choose what test data and actions it needs. It builds the automated tests from action scripts and executes them on the populat open source test framework WebdriverIO.
This divide and conquer continuous testing approach to test automation provides for much easier test case maintenance. The built-in reuse of test action scripts drives up productivity by reducing the number of test scripts you need to create to cover your test space. Even a small test activity in Vitaq AI will auto-generate thousands of diverse and highly effective tests.
All the time Vitaq is running it will monitor, measure and analyse the increase in your use-case and user-journey QA coverage. Vitaq is AI-driven and coverage-led to reduce your software delivery time.
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