Quash is an AI‑powered mobile testing platform that lets QA teams create and run tests by describing app flows in plain English. The system translates natural‑language prompts into real interactions—taps, swipes, typing, and navigation—on physical devices, emulators, or cloud devices, automatically adapting to UI changes and loading states. It also includes built‑in test management, detailed reporting, and backend validation, enabling fast, maintainable, and comprehensive mobile test automation without writing code.
Funding
$650K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OFounders
Product
Problem
Mobile QA teams often rely on scripted automation frameworks that require extensive coding, maintenance, and fragile selectors, making test creation slow and limiting coverage, especially for edge cases and UI changes.
Solution
Quash provides an AI‑powered mobile testing platform that lets users describe test intent in plain English. The system translates natural‑language prompts into executable actions—taps, swipes, typing, navigation, and form interactions—running them on real devices, emulators, or cloud devices. Its AI agent adapts to dynamic screens, loading states, and UI changes, ensuring tests remain reliable without manual script updates. Quash also offers built‑in test management, detailed execution reports, and backend validation, enabling teams to generate, execute, and maintain comprehensive mobile test suites quickly and collaboratively.
Target Audience
Primary customers are QA engineers, mobile developers, and product teams in organizations that need fast, maintainable mobile test automation without writing code.
Features
- Natural‑language test generation: write prompts instead of code to create test cases automatically.
- Intent‑driven execution: AI agent performs taps, swipes, typing, and navigation based on described flows.
- Adaptive UI handling: agent adjusts to loading states, dynamic elements, and UI changes during runs.
- Multi‑device support: run tests on physical devices, emulators, or cloud devices with a single workflow.
- Integrated test management: shared workspaces, versioned test suites, and collaboration tools for QA teams.
- Automated reporting: detailed execution logs, screenshots, and insights delivered via a web dashboard.
- Backend validation: verify API responses and data integrity as part of end‑to‑end mobile tests.
- Extensible AI models: supports Claude, GPT, and custom LLM API keys for flexible reasoning and planning.