Drizz
AI-powered mobile test automation platform using plain English and Vision AI.
Балл
60
Пользовательский рейтинг
3.0
Бесплатная/Пробная поддержка
Не поддерживается
Начальная цена
--
Последнее обновление
авг. 14, 2026
Обзор
Что такое Drizz?
Drizz is an AI-powered mobile test automation platform built around intent-based testing and Vision AI. It allows development and QA teams to automate end-to-end mobile UI testing for iOS and Android on real devices. By using natural language processing, Drizz converts plain-English test descriptions into executable, self-healing test flows, completely eliminating the need for scripting, brittle selectors, or manual maintenance.
Для чего используется Drizz?
Теги
Основные функции
- Intent-based testing via plain-English test writing
- Vision AI-powered real-device execution for iOS & Android
- Self-healing test automation that repairs broken steps automatically
- Centralized app and multi-step flow management (deep links, push notifications, app restarts)
- Precision debugging tools with screenshots, videos, and screen state logs
- CI/CD pipeline integrations for automated mobile testing workflows
- Built-in accessibility testing for UI flows
Как использовать Drizz?
To use Drizz, connect your mobile application binary (such as an APK), describe your test steps in plain English narrative, and execute the run. The Vision AI engine runs the test on real devices, automatically authors a reusable test case, adapts to any UI changes dynamically, and provides unpacked debugging logs and screenshots if failures occur.
Альтернативные инструменты
Альтернативные инструменты не найдены
Преимущества & Недостатки
Нет данных
Варианты использования
- Validating critical e-commerce flows like search, shopping carts, checkout, and payments under dynamic UI conditions
- Testing complex fintech journeys including KYC compliance, wallet transfers, and real-time dashboards
- Automating multi-step media validation such as video playback, subscription gating, and player controls across multiple OS versions
- Verifying dynamic map interactions, real-time rendering, gestures, and route recalculation in navigation apps
- Replacing repetitive manual testing regression cycles with automated, cross-platform scripts written in natural language
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