Overview
Quash is an AI-powered mobile testing platform designed to streamline the QA process for mobile teams. It allows developers to generate tests in plain language and execute them on real devices.
An intuitive feature of Quash is its ability to auto-adapt to user interface changes, loading states, and dynamic screens during the test execution phase, saving time on rewriting the test script for every new release.
It also makes the QA process thorough by validating not only the front-end but also the backend system behavior during mobile test execution without the requirement of a separate step after UI testing.
Quash allows tests to run against actual app behavior as opposed to being run under mocked or artificial environments. This tool enables the execution of mobile tests on local devices, emulators, or cloud devices without the need to establish or maintain a testing infrastructure.
Aside from these features, Quash provides comprehensive test reports inclusive of steps, screenshots, and contextual information that assists teams in understanding failures efficiently and reduces the need for additional follow-ups.
Quash ensures adaptation according to the release cadences and risk thresholds applicable to various sectors, including fintech, e-commerce, healthcare, entertainment, travel, and insurance.
This functionality emphasizes Quashs flexibility and its commitment to provide a unified platform for QA teams.
Releases
Top alternatives
-
AI-powered QA automation to save Engineering hoursSebastian Lorentz🙏 67 karmaMar 25, 2025@VerexThis is a very useful app! Going to use it on all my products.
-
AI-powered test automation from human instructions
-
World’s first end to end software testing agent built on modern LLMsI got private beta access when it was launched its acutally really helpful ... everything I used to manually has been automated its so easy now that even a non tech background person can leverage it.
-
AI-powered A/B testing for continuous website improvement
-
Release faster with QA that keeps up
-
Agentic testing with real browsers and devices.

