Vision AI-powered mobile app testing platform ‘Drizz’ has raised $2.7 million in seed round, led by Stellaris Venture Partners. Other investors like Shastra VC, Anuj Rathi (ex-CBO of Cleartrip), and Vaibhav Donkundwar also participated in the funding round, which is aimed at expanding its engineering team and strengthening research capabilities.
Vision AI refers to the integration of computer vision and artificial intelligence to interpret and analyse images. “Every app team is accelerating with AI, but testing still lags behind,” said Asad Abrar, cofounder 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,” he added.
Drizz helps developers and QA teams to write, run, and maintain end-to-end test coverage using plain English prompts instead of fragile code. It allows them to 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 with UI changes.
The platform supports a comprehensive range of testing needs, including UI, Functional, API, multi-app, and End-to-End testing. In early deployments, Drizz claims to have delivered over 97% test reliability across dynamic UIs, outperforming traditional coded test scripts that often break with minor changes.
Speaking about the fundraise, Alok Goyal, Partner at Stellaris Venture Partners believes that AI is Vision AI refers to the integration of computer vision and AI capabilities to interpret and analyse images. “Drizz is therefore tackling one of the most critical parts of the software development cycle with a unique, vision-first approach”.
“We want to redefine how quality software is shipped in the age of AI. With Drizz, test authoring becomes effortless, execution highly accurate, and bug resolution near-instant, all powered by intelligent automation,” said Partha Mohanty, Drizz cofounder and CPO.
The start-up’s AI model evaluates apps visually, eliminating the need for locator selectors, manual updates, or separate test suites across devices. Its AI doesn’t rely on fragile xPath locators or accessibility IDs and instead interprets the UI visually, adapting automatically to screen density, hardware differences, and device-specific behaviours.
