Drizz is a Vision AI-powered mobile app testing agent designed to solve the challenges of modern mobile test automation. Created for engineering and QA teams, Drizz allows users to write tests in plain English, eliminating the need for brittle selectors and complex frameworks. By utilizing Vision AI, Drizz mimics human-level understanding of user interfaces, enabling tests to adapt automatically to UI changes through built-in self-healing capabilities. This approach drastically reduces flakiness and maintenance efforts, allowing teams to move faster and maintain higher test coverage.

Functionality: Drizz provides an end-to-end mobile test management platform that spans from fast local authoring via its Desktop App to enterprise-grade parallel execution in the Drizz Cloud. Users upload their application build, describe the testing steps in simple, natural language, and execute these tests on real iOS and Android devices. The platform offers precise debugging tools, including screenshots, logs, and screen state information, to help developers fix issues quickly. Integration with CI/CD pipelines ensures that tests run consistently within existing workflows, providing reliable signal quality for release governance.

Some of the key features are:

• Vision AI Execution: Tests understand UI elements visually, removing dependency on fragile element locators or XPath.
• Self-Healing Automation: Tests automatically adapt to UI changes, drastically reducing the time spent on test maintenance.
• Plain English Authoring: Write test scenarios using natural language, making test creation accessible and efficient.
• Real-Device Testing: Execute tests on actual physical iOS and Android devices to catch hardware or environment-specific bugs.
• Precision Debugging: Receive detailed reports with screenshots, logs, and state history to pinpoint root causes rapidly.
• CI/CD Integration: Seamlessly plug into existing pipelines for continuous, automated regression testing.
• Accessibility Testing: Built-in capabilities to validate accessibility compliance across user flows.
• Parallel Cloud Execution: Scale test suites across parallel devices and OS versions for enterprise-grade throughput.

Operation: To use Drizz, teams first author and validate their test logic locally using the Drizz Desktop App. This local environment allows developers and QA engineers to interact with simulators, emulators, or connected real devices to ensure tests are stable. Once validated, tests can be committed to version control and scaled to the Drizz Cloud for parallel execution within CI/CD pipelines. The platform orchestrates the test runs, manages device allocation, and reports outcomes, providing high-velocity teams with a predictable and stable release cycle.

Some common use cases include:

• E-commerce: Validating complex checkout, search, cart, and payment flows to prevent abandoned orders and revenue loss.
• Fintech: Ensuring critical financial journeys such as KYC, money transfers, and balance dashboards are reliable and bug-free.
• Entertainment: Testing playback, streaming, subscription sign-ups, and player controls across various network and device conditions.
• Navigation & Maps: Verifying real-time rendering, panning, zooming, and route updates in dynamic mapping applications.
• Health & Fitness: Validating sensor-driven workflows, device-sync reliability, and user onboarding processes.