Trio of engineers secure millions for new mobile testing startup

Drizz Founders (left to right) Partha Mohanty, Yash Varyani, Asad Abrar
Drizz Founders (left to right) Partha Mohanty, Yash Varyani, Asad Abrar

A trio of ex-engineers from Amazon, Coinbase, and Gojek have launched Drizz, a new AI-native software testing platform built to transform how mobile apps are functioning and performing.

Backed by a $2.7 million seed round led by Stellaris Venture Partners and Shastra VC, the young company aims to eliminate the bottlenecks of brittle, manual testing frameworks and bring modern, vision-based automation to the heart of mobile QA, according to Asad Abrar, the chief executive officer of Drizz and one of its co-founders.

As mobile app development accelerates with AI-generated code and rapidly evolving interfaces, traditional software testing tools are struggling to keep pace.

Founded by Abrar, Partha Mohanty, and Yash Varyani, the platform offers a Vision AI testing agent that allows developers and QA teams to create and run tests across iOS and Android using natural language, with no code required.

“Every app team is accelerating with AI, but testing still lags behind,” said Abrar. “During my time at Coinbase, locator-based tests broke with every UI shift, turning QA into a bottleneck. That frustration led us to build Drizz.”

Unlike conventional automation tools that rely on brittle elements like XPath locators or accessibility IDs, the firm interprets mobile UIs visually, just like a human user. Its multimodal AI engine understands screen context, layouts, and dynamic UI elements, adapting seamlessly to variations in device hardware, screen resolution, or app behavior.

“Where traditional testing may break, Drizz remains stable and flags bugs with detailed log intelligence that pinpoints the root cause,” added Varyani, the company’s CTO. “It saves both time and guesswork.”

Drizz supports self-healing automation, real-time reporting, CI/CD integration, and cross-platform testing. With support for UI, functional, API, multi-app, and full end-to-end testing, the platform aims to be a one-stop solution for mobile QA teams seeking speed, precision, and scale.

One of the key differentiators of Drizz is its natural language test creation, claimed Varyani, which allows even non-technical users to contribute effectively.

Tests can be authored in simple English, and the platform has already demonstrated over 97% accuracy in early enterprise deployments. Customers have also reported reducing test creation time by a factor of ten.

“Test authoring becomes effortless, execution highly accurate, and bug resolution near-instant, all powered by intelligent automation,” said Mohanty, CPO and co-founder.


“In an era where more software needs to be shipped even faster than ever, software quality has become the biggest bottleneck.”

– Alok Goyal

So far, Drizz has signed up around a dozen customers, including some in the financial services space, but the recent seed round marks its formal emergence from stealth. Investors believe that, even in a crowded market, Drizz offers something different by empowering non-technical users, eliminating locator fragility, and offering cross-platform stability with a visual AI engine at its core.

“AI is fundamentally changing how software is built, tested and deployed,” Alok Goyal, Partner at Stellaris, told Forbes. “In an era where more software needs to be shipped even faster than ever, software quality has become the biggest bottleneck. Drizz is tackling one of the most critical parts of the development cycle with a unique, vision-first approach.”

While the big app platforms such as Apple’s TestFlight and Android’s Journeys offer some testing solutions, independent players like Drizz argue that more comprehensive, intelligent, and user-friendly tools are necessary to truly support today’s development needs.

Booming QA startup space

Drizz’s entry into the market comes at a pivotal moment. With AI now responsible for writing more than half of all code globally, testing has become a significant bottleneck in the development lifecycle.

Nowhere is this more evident than in the mobile app space, where demand for rapid releases is intensifying. According to Statista, the global mobile app market is projected to reach $756 billion by 2027, with app downloads across Apple’s App Store and Google Play Store approaching 35 billion per quarter.

Each download represents both an opportunity and a risk, however. Mobile bugs can cost developers dearly, not just in fixes, which can add up to $24,000 annually for a $100,000 app, according to Itobuz, but in reputational damage and lost user trust.

The solution, many agree, lies in turning to AI once again, this time to power automated testing. Verified Market Reports forecasts the app testing market will grow from $5.4 billion in 2024 to over $20 billion by 2033, largely driven by AI-based services.

This backdrop is drawing a new wave of startups into the space, all claiming to solve the growing testing crunch. While open-source tool Appium has long been a mainstay for automated app testing, newer names like Mabi, Maestro, and TestRigor are gaining traction. Drizz now joins their ranks, positioning itself with a distinctive vision-first model.

“We could see that developers all over the world were facing the same problems as us,” said Abrar. “We’ve aimed to automate as much of the testing process as possible. Tests are conducted in simple English and we’ve got to the stage where the results are 97% accurate.”


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