Drizz, the Vision AI mobile application testing agent built for the speed and complexity of AI-powered app development, is emerging from stealth backed by $2.7 million. Founded by engineers from Amazon, Coinbase, and Gojek, Drizz introduces intuitive, visual-based app testing to the market, accelerating the evaluation of apps through the power of AI.
Drizz addresses a fundamental challenge with the explosion of AI and the rush for implementation, where AI apps are incompatible with traditional test frameworks. Unable to keep pace with AI-generated code or the rapidly evolving nature of mobile apps, traditional testing slows innovation as AI redefines how software is written, according to Drizz.
“Every app team is accelerating with AI, but testing still lags behind,” said Asad Abrar, co-founder and CEO of Drizz. “During my time as a product manager at Coinbase, locator-based tests broke with every UI shift, turning QA into a bottleneck. That frustration led us to build Drizz—an AI-native platform that keeps up with modern development and actually delivers confidence at scale.”
Drizz’s Vision AI mobile app testing agent enables the use of natural language to write, run, and maintain end-to-end test coverage. Evaluating apps’ UI visually, Drizz erases the need for locator selectors, manual updates, or separate test suites across devices. Within a single, shared suite, developers and QA teams can execute tests across iOS and Android via English prompts, empowering self-healing automation that stays stable across UI changes, according to Drizz.
“Drizz’s multimodal engine understands the screen context and layout, even when elements are dynamic and constantly changing,” said Yash Varyani, co-founder and CTO of Drizz. “Where traditional testing may break, Drizz remains stable and flags bugs with detailed log intelligence that pinpoints the root cause. This ultimately saves testing teams both time and guesswork.”
Other capabilities of Drizz’s Vision AI mobile application testing agent include:
- Automatic adaptation to screen density, hardware differences, and device-specific behaviors
- Support for CI/CD pipelines, real device cloud testing, real-time reporting, and full enterprise-grade compliance
- Compatibility with an array of testing needs, from UI to Functional, API, multi-app, and end-to-end testing
- Support for field-level fallback logic and step-by-step execution that increases reliability and eases debugging even for complex interfaces
- Streamlines collaboration and increases team efficiency, enabling non-technical stakeholders to contribute to test scenarios
The company’s funding round—which was led by Stellaris Venture Partners and Shastra VC—empowers Drizz to enhance its Vision AI engine with a focus on speed, accuracy, and usability across enterprise environments.
“We want to redefine how quality software is shipped in the age of AI,” said Partha Mohanty, Drizz co-founder and CPO. “With Drizz, test authoring becomes effortless, execution highly accurate, and bug resolution near-instant—all powered by intelligent automation.”
“AI is fundamentally changing how software is built, tested, and deployed. In an era where more software needs to be shipped even faster than ever, software quality has become the biggest bottleneck,” said Alok Goyal, partner at Stellaris Venture Partners. “Drizz is therefore tackling one of the most critical parts of the software development cycle with a unique, vision-first approach. By solving real QA pain points and bringing non-technical users into the loop, Drizz is reimagining mobile application testing with AI. We’re thrilled to partner with them on this journey.”
To learn more about Drizz, please visit https://www.drizz.dev/.