This week, Drizz, founded by Asad Abrar, Partha Mohanty, and Yash Varyani (engineers from Amazon, Coinbase, and Gojek), launched from stealth with a $2.7 million seed round to introduce a Vision AI mobile app testing agent.
The round was led by Stellaris Venture Partners and Shastra VC, with participation from Anuj Rathi (ex-CBO, Cleartrip) and Vaibhav Domkundwar. The funding will fuel the continued development of Drizz’s Vision AI engine.
“Every app team is accelerating with AI, but testing still lags behind,” said Abrar, also 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 allows teams to write, run, and maintain end-to-end test coverage using plain English prompts instead of fragile code. The system evaluates apps visually, just like a real user, eliminating the need for locator selectors, manual updates, or separate test suites across devices. Its AI doesn’t rely on brittle xPath locators or accessibility IDs, and instead interprets the UI visually, adapting automatically to screen density, hardware differences, and device-specific behavior.
“Drizz’s multimodal engine understands the screen context and layout, even when elements are dynamic and constantly changing,” said CTO Varyani. “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.”
Developers and QA teams can run tests across iOS and Android using one shared suite, generate test flows in natural language, and rely on self-healing automation that stays stable across UI changes. The platform is built for production readiness, with support for CI/CD pipelines, real device cloud testing, real-time reporting, and full enterprise-grade compliance. Drizz supports a comprehensive range of testing needs – including UI, Functional, API, multi-app, and end-to-end testing.
The system also supports field-level fallback logic and step-by-step execution that boosts reliability and makes debugging easier, even on the most complex interfaces. This opens doors for non-technical stakeholders to actively contribute test scenarios, with no coding required. It streamlines collaboration and helps teams move efficiently. In early deployments, Drizz said it has helped teams achieve better than 97% test accuracy and reduce test creation time by a factor of 10.
Looking ahead, Drizz plans to extend its vision-based infrastructure toward testing for visually rich and highly interactive environments – areas where traditional locator-based tools can’t operate due to dynamic interfaces and the lack of deterministic DOM structures.
“We want to redefine how quality software is shipped in the age of AI,” said Mohanty, Drizz 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,” noted Alok Goyal, partner at Stellaris Venture Partners. “In an era where more software needs to be shipped even faster than ever, software quality has become the biggest bottleneck. 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.”