Drizz
Drizz is a vision AI mobile app testing platform for iOS and Android. Write tests in plain English, run on real devices, and reduce selector-based maintenance.
What is Drizz?
Drizz is a vision AI mobile app testing platform for iOS and Android. It lets teams write tests in plain English, run them on real devices, and reduce the upkeep that usually comes with selector-based mobile automation.
The product is positioned around end-to-end mobile testing for real apps. It supports quickly authoring tests, running them reliably on device, and handling UI changes through self-healing behavior rather than brittle selectors.
Key Features
- Plain-English test authoring — Users describe test steps in natural language instead of writing selector-heavy scripts, which shortens the setup process for mobile test cases.
- Real-device execution — Tests run on actual iOS and Android devices, which helps teams validate behavior in the environment their users experience.
- Self-healing automation — Tests are designed to adapt when the UI changes, reducing the maintenance burden caused by broken locators and changing layouts.
- End-to-end test management — Apps, suites, runs, and test history are managed in one platform, making it easier to track results across teams and builds.
- CI/CD integration for mobile testing — Teams can run tests in their pipelines and use the platform for consistent validation during delivery.
- Debugging outputs — Failures include screenshots, logs, screen state, and step history to help teams understand what happened and investigate faster.
- Accessibility testing — The platform includes accessibility checks as part of the testing workflow.
- Centralized app management — Builds, devices, plans, and environments are organized in one place for larger testing programs.
How to Use Drizz
A typical workflow starts by uploading an APK or connecting an app build. Users then describe the test they want in plain English, run it on real devices, and review the results in the platform. When failures occur, the captured screenshots, logs, and screen state help identify the issue and decide whether the app or test flow needs attention.
Use Cases
- QA teams validating release candidates — Run repeatable mobile tests across device and OS combinations before shipping a build.
- Teams maintaining unstable selector-based suites — Replace brittle scripts with tests that can adapt to UI changes and reduce manual test repair.
- Developers checking regressions — Confirm that key flows still work after code changes and use step history and logs to debug failures.
- Teams testing critical mobile flows — Validate login, checkout, payments, onboarding, or similar high-value journeys on real devices.
- Organizations running tests in CI/CD — Add mobile validation to delivery pipelines to catch failures earlier and keep results consistent.
FAQ
What platforms does Drizz test? Drizz is described as a mobile app testing platform for iOS and Android.
Do I need to write selectors? The source emphasizes plain-English test authoring and reduced selector maintenance, so the workflow is designed to avoid reliance on selector-based automation where possible.
Does Drizz run on real devices or emulators? The page specifically says tests execute on real devices.
What kind of debugging information is available? The platform mentions screenshots, logs, screen state, and step history for debugging.
Can Drizz be used in CI/CD? Yes. The site states that mobile tests can be run in CI/CD pipelines.
Alternatives
- Appium-based mobile automation — A common alternative for teams that want script-driven mobile tests and are willing to maintain selectors and automation code directly.
- Other low-code mobile testing platforms — These may offer faster authoring than hand-written scripts, but they can differ in how they handle device execution, maintenance, and debugging.
- Manual mobile QA — Useful for ad hoc exploration and human judgment, but it does not provide the same repeatability or pipeline integration as automated testing.
- Generic browser automation tools — These are often better suited to web testing than native mobile app validation and may not focus on real-device mobile workflows.
Alternatives
FixMyCWV
FixMyCWV audits Core Web Vitals, identifies LCP, INP, and CLS issues, and delivers code-level fixes for developers and teams.
Ably Chat
Ably Chat is a chat API and SDKs for building custom realtime chat apps, with reactions, presence, and message edit/delete.
AakarDev AI
AakarDev AI is a powerful platform that simplifies the development of AI applications with seamless vector database integration, enabling rapid deployment and scalability.
DeepMotion
DeepMotion is an AI motion capture and body-tracking platform to generate 3D animations from video (and text) in your web browser, via Animate 3D API.
Arduino VENTUNO Q
Arduino VENTUNO Q is an edge AI computer for robotics, combining AI inference hardware and a microcontroller for deterministic control. Arduino App Lab-ready.
Devin
Devin is an AI coding agent that helps software teams complete code migrations and large refactoring by running subtasks in parallel.