testRigor

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DevOps Toolchain?
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Test and review, GenAI-based DevOps toolchain
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testRigor is a no-code test automation platform that enables teams to create and execute automated tests without requiring programming skills. Founded in 2016, the company offers an AI-powered solution for functional and regression testing of web, mobile, and desktop applications. testRigor's approach focuses on creating tests from an end-user perspective, allowing users to identify elements as they appear on the screen rather than using element locators. This methodology results in more stable tests that are less prone to breaking due to minor changes in the application's structure.

The platform utilizes machine learning algorithms to analyze user behavior in production environments, automatically generating tests for the most frequently used workflows. This feature helps teams rapidly expand test coverage for critical functionalities. testRigor also provides a Chrome extension for recording user actions and translating them into plain English test scripts. The tool's AI capabilities enable it to learn and adapt tests as applications evolve, improving test stability over time.

testRigor's technology allows for the creation of complex test scenarios without coding, making it accessible to non-technical team members such as manual QA testers and product managers. The platform supports various test types, including functional, regression, and end-to-end testing. Customers using testRigor can achieve over 90% test automation significantly faster than with open-source alternatives like Selenium, while spending less than 0.5% of the time typically required for test and framework maintenance.


Sources

Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
San Francisco CA USA
Founded year:
2015
Employees:
51-100
IPO status:
Private
Total funding:
USD 3.7 mn
Last Funding:
-
Last valuation:
-
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