Drizz is a vision AI-powered mobile app testing platform founded by engineers from Amazon, Coinbase, and Gojek. It uses computer vision and generative AI to visually interpret UI elements and mimic human interactions without fragile scripting. Teams write and run end-to-end tests using plain English prompts, with the system evaluating apps visually just like a real user, eliminating locator selectors and manual test maintenance.
Drizz is a vision AI-powered mobile app testing platform founded by engineers from Amazon, Coinbase, and Gojek. It uses computer vision and generative AI to visually interpret UI elements and mimic human interactions without fragile scripting. Teams write and run end-to-end tests using plain English prompts, with the system evaluating apps visually just like a real user, eliminating locator selectors and manual test maintenance.
Screenshot of Drizz homepage — captured March 21, 2026 by PopularAiTools.ai

Uses computer vision to visually interpret UI elements and mimic human interactions, eliminating fragile locator selectors and manual updates.
Write end-to-end tests using natural language prompts instead of code, making test creation accessible to non-technical team members.
Automatically adapts to screen density, hardware differences, and device-specific behaviors across different mobile devices.
Integrates with continuous integration and delivery pipelines for automated testing as part of your development workflow.
Test on real devices in the cloud rather than simulators for accurate results that match real-world user experiences.
AI generates comprehensive test cases by analyzing decision logic, creating edge cases, and validating coverage across all branches.
Reach out to the Drizz team via their website to discuss your mobile testing needs and get access.
Upload or connect your mobile application to the Drizz platform for testing.
Describe your test scenarios in plain English prompts. Drizz translates them into executable test cases.
Execute tests across real device clouds with automatic adaptation to different screen sizes and hardware.
Analyze real-time reporting, see which UI elements were tested, and identify failures with visual evidence.

Contact for pricing | $2.7M seed funded

Open-source mobile test automation framework with large community but requires coding.
Mobile UI testing tool with simple YAML-based test definitions.
Established platform for cross-browser and mobile testing with large device lab.
Enterprise testing platform with real device cloud and comprehensive analytics.
Drizz brings a genuinely novel approach to mobile testing by using computer vision instead of fragile locator-based scripts. The plain English test writing is a game-changer for teams where QA involves non-developers. The founding team's pedigree from Amazon, Coinbase, and Gojek lends credibility, and the $2.7M seed funding shows investor confidence. The main limitation is the lack of public pricing and limited public track record. For mobile-first companies struggling with test maintenance, Drizz is worth evaluating. Rating: 4.3/5
Visit the official Drizz website to get started

Drizz uses computer vision to interpret UI visually, eliminating the fragile locator selectors that Appium requires.
Yes, tests are written in plain English prompts, making test creation accessible to non-technical team members.
Yes, Drizz supports real device cloud testing rather than simulators for accurate real-world results.
Yes, Drizz integrates with CI/CD pipelines for automated testing in your development workflow.
Drizz was founded by engineers from Amazon, Coinbase, and Gojek with $2.7M in seed funding.
Drizz uses computer vision to see the screen like a human user, identifying UI elements visually rather than through code selectors.
Yes, Drizz offers enterprise compliance, real-time reporting, and dedicated support options.
Drizz supports mobile app testing across iOS and Android devices.
Last updated: March 21, 2026 | Review by PopularAiTools.ai
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