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Quash Automate

AI-powered Mobile Testing for Faster, Smarter Releases

About Quash Automate

Quash Automate revolutionizes mobile app testing by combining AI-driven capabilities with seamless developer workflows. It intelligently maps your entire app, dynamically generating comprehensive scriptless test cases without manual intervention. Integrated directly into your CI/CD pipelines, Quash Automate ensures testing is triggered automatically with each code change, saving valuable development time and reducing manual overhead. Real-device validation through integrations with BrowserStack and LambdaTest guarantees your app performs reliably across diverse real-world environments. Detailed, instant feedback—including visual session replays, comprehensive logs, and contextual root-cause analyses—is delivered straight to your existing workflows, enabling rapid debugging and issue resolution. With Quash Automate, mobile teams accelerate testing, enhance app stability, and deliver outstanding user experiences consistently.

AI agents automatically generate and execute Appium scripts for comprehensive mobile QA testing.

Our Core Capabilities

- AI-Powered App Mapping:

Automatically map your app’s structure with dynamic graphs of user flows, screens, and interactions.

- Scriptless Test Generation:

Generate test cases without writing code, ensuring high coverage with minimal effort.

- Delta-Based Test Targeting:

Run tests only for modified code to speed up execution and avoid redundant checks.

- Seamless CI/CD Integration:

Automatically trigger tests on every PR or pipeline with integrations like GitHub Actions.

- Real-Device Validation:

Test on real devices using cloud-based platforms like BrowserStack and LambdaTest.

- Instant Feedback & Reporting:

Get test results, logs, screenshots, and replays directly in GitHub, Slack, or CI dashboards.

- Scalable Parallel Execution:

Run multiple tests at once across devices to reduce overall test time.

- Contextual Root Cause Analysis:

Quickly identify why tests fail with clear, context-rich debugging insights.

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