Drizz, a startup founded by former engineers from Amazon, Coinbase, and Gojek, has launched from stealth with $2.7 million in seed funding to enhance mobile app testing.
The startup’s vision-based automation platform replaces fragile test scripts with natural language prompts, cutting testing time from days to minutes.
Led by Stellaris Venture Partners and Shastra VC, the round included participation from Anuj Rathi (ex-CBO, Cleartrip) and Vaibhav Domkundwar. The funding will fuel the continued development of Drizz’s Vision AI engine, enhancing its speed, accuracy, and usability across enterprise environments.
“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 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 behaviours.
“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.”
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 has helped teams achieve over 97% test accuracy and reduce test creation time by a factor of 10.
The company is already working with multiple unicorns globally and is seeing strong developer engagement, with users spending an average of 15 hours per week writing and executing test cases.
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 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.”
Alok Goyal, partner at Stellaris Venture Partners commented: “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. 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.”
With AI redefining the speed and complexity of software creation, Drizz is supercharging teams to test faster and ship confidently.
