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Across every industry, digital transformation is top of mind. New methods of developing software are driving fast change, and test teams are feeling the pressure. Increasing demand to release faster while maintaining the highest levels of quality is making the testing process more complex and harder to scale.
With AI-powered testing, Eggplant’s test and automation intelligence delivers the coverage you need to optimize the user experience, speed up release cycles, and improve your quality assurance process. Discover a fast, secure, and easy-to-use solution that tests any kind of software on any platform or device.
Keysight's Eggplant lets you automate the entire testing process, from test case generation to results analytics.
With optical character recognition (OCR), you can extract text from images, facilitating automated testing of complex UX elements.
Take the fastest path to quality for your system under test. Our AI identifies, executes and adapts test models automatically.
Evaluate your website's operations by verifying that the output displayed on the front end matches the back end.
Ensure your applications, website, and digital services work across all browsers, operating systems, and devices.
Eggplant’s model-based testing helps predict how an application will behave under various conditions, allowing for more accurate and reliable testing.
Integration adapters let you extract data from packaged applications to help accelerate test modeling and case development and expand app test coverage.
Reduce release risks with continuous integration/continuous delivery (CI/CD) test automation, avoiding unexpected outcomes and system interruptions.
As web traffic and data services migrate to mobile, employ intelligent automation testing to ensure functional and high-quality UX on all devices.
Reduce errors that arise from manual data entry. Automate repetitive tasks to lighten the administrative load on employees.
Build automated test models and cases for highly secured applications without the need to access sensitive source code.