Drizz has launched from stealth mode with a USD $2.7 million seed investment to deliver an AI-powered platform for mobile app testing across the US, Canada, and India.
Founded by engineers from Amazon, Coinbase, and Gojek – Asad Abrar, Partha Mohanty, and Yash Varyani – Drizz aims to address the challenges of manual software testing processes in the era of AI-driven app development. The company's product is a vision-based automation platform that substitutes traditional test scripts with natural language prompts, with the goal of substantially accelerating test procedures.
Funding and investors
The seed round was co-led by Stellaris Venture Partners and Shastra VC. Additional participation came from Anuj Rathi, former Chief Business Officer at Cleartrip, and Vaibhav Domkundwar. The funds will be allocated to further develop the company's Vision AI engine, focusing on improvements in speed, accuracy, and enterprise usability.
Challenges in app testing
Traditional mobile app testing frameworks, which rely on locator-based scripts and manual updates, often struggle to keep pace with frequent UI changes and rapidly evolving codebases. Drizz's founders said the company was established because current tools have become a bottleneck for engineering and quality assurance teams.
"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 platform enables users to write, run, and maintain end-to-end test coverage using plain English prompts, reducing reliance on brittle code and specific UI element locators such as xPath or accessibility IDs. By evaluating apps visually - mimicking the actions of a real user - the system adapts to various device differences and interface changes automatically.
How the platform works
The system offers a multimodal engine capable of understanding screen layouts and dynamic elements, maintaining stability where conventional automated tests may fail. According to the company, Drizz is compatible with both iOS and Android, allowing developers and QA teams to operate a single suite of natural language-generated test flows. The platform incorporates self-healing automation designed to function across UI changes and supports established enterprise demands such as continuous integration and delivery (CI/CD), device cloud testing, real-time reporting, and compliance requirements.
"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."
A further feature is the inclusion of field-level fallback logic and step-by-step execution, designed to increase reliability and simplify debugging in complex user interfaces. The platform is also targeted at business and product stakeholders without coding expertise, facilitating greater collaboration across teams and enabling non-technical participants to author test scenarios.
Initial deployments of the platform have reportedly achieved over 97% test accuracy and reduced test creation times by a factor of 10. Engagement metrics indicate that users currently spend an average of 15 hours per week on writing and executing test cases.
Target markets and future plans
Drizz is already in active use with several unicorn-status companies and has outlined plans to expand its vision-based testing infrastructure to visually rich and interactive environments. In such contexts, Drizz believes traditional locator-based testing tools are inadequate due to the absence of deterministic Document Object Model (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, described the market context for the investment. "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."
