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Drizz

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Last update time : 2026-02-21 21:00:36

Drizz is an innovative mobile app testing platform that utilizes Vision AI to simplify the testing process for Android and iOS applications

The Drizz platform is designed to enable teams to write comprehensive end-to-end tests for their mobile applications in plain English, which are then executed on real devices. This approach is made possible by the platform's Vision AI capabilities, which can read screens in a manner similar to human users, allowing it to identify elements, apply adaptive waits, and self-heal tests. This functionality ensures that test suites can withstand changes to the user interface, thereby significantly reducing the likelihood of test failures.


One of the primary benefits of using Drizz is that it can replace traditional selector-based automation, which is often brittle and prone to errors. By leveraging the power of Vision AI, teams can speed up the process of test authoring and debugging, resulting in faster time-to-market for their applications. Additionally, Drizz integrates seamlessly into Continuous Integration/Continuous Deployment (CI/CD) pipelines, enabling reliable and secure test runs at scale. The platform also provides rich artifacts, including screenshots, logs, and videos, which facilitate faster triage and lower maintenance costs.


The implications of Drizz's technology are far-reaching, as it has the potential to revolutionize the way mobile app testing is performed. By providing a more efficient, reliable, and scalable testing solution, Drizz can help teams to deliver higher-quality applications, while also reducing the costs and resources associated with testing. As the demand for mobile applications continues to grow, the need for innovative testing solutions like Drizz will become increasingly important, enabling businesses to stay ahead of the curve and deliver exceptional user experiences

Pricing : Paid

Web Address : Drizz

Tags : mobile app testing Vision AI end-to-end testing Android iOS test automation CI/CD test authoring debugging enterprise testing



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