The rapid evolution of artificial intelligence continues to reshape industries, and software testing is no exception. Traditional testing methods struggle to keep pace with the AI-driven development landscape, leading to an urgent need for innovation. This gap is precisely what Drizz, a newly launched company founded by ex-engineers from Amazon, Coinbase, and Gojek, aims to fill. With a recent seed funding round of $2.7 million, led by Stellaris Venture Partners and Shastra VC, Drizz is poised to introduce a groundbreaking Vision AI mobile app testing agent.

Drizz emerged from stealth mode on July 28, 2025, addressing the challenges posed by today’s increasingly complex mobile applications. Asad Abrar, co-founder and CEO, articulated the issues faced when testing mobile applications, particularly the hindrances posed by traditional test frameworks. Abrar noted that testing became a bottleneck during his tenure at Coinbase whenever there was a user interface shift. This common pain point has spurred the creation of Drizz, which promises seamless integration into modern app development.

The core innovation of Drizz lies in its ability to allow developers and QA teams to write, run, and maintain comprehensive end-to-end test coverage using plain English prompts, drastically reducing reliance on fragile code. Unlike conventional methods that use locator selectors and require manual updates, Drizz’s Vision AI engine takes a visual approach, evaluating applications just as a real user would. This functionality enables the system to automatically adapt to variations in screen density, hardware differences, and device behaviors, ensuring robust testing across diverse environments.

Yash Varyani, co-founder and CTO, emphasized the multimodal capabilities of Drizz, stating that the engine comprehends screen context and layouts, even when elements are dynamic and subject to change. This feature not only preserves stability in testing but also provides detailed log intelligence that helps identify root causes of bugs. Consequently, the implementation of Drizz could significantly reduce the time and effort spent on debugging, a welcome relief for teams stretched thin by the demands of continuous delivery.

With the ability to run tests across both iOS and Android platforms through a single shared suite, Drizz makes testing more efficient. Developers can generate test flows in natural language, vastly improving the accessibility of testing for non-tech stakeholders. The platform’s self-healing automation feature ensures that tests remain functional despite UI changes, thus safeguarding the integrity of the testing process.

Another highlight of Drizz is its readiness for production use, supporting continuous integration and continuous deployment (CI/CD) pipelines. The platform offers cloud testing on real devices, real-time reporting, and complies with enterprise-grade requirements. Furthermore, it covers a comprehensive range of testing needs, including UI, functional, API, multi-app, and end-to-end testing. This versatility positions Drizz as an essential tool for organizations looking to enhance the quality and reliability of their mobile applications.

Additionally, the testing agent incorporates field-level fallback logic and step-by-step execution, bolstering overall reliability and facilitating easier debugging — even on intricate interfaces. This functionality opens the door for non-technical team members to engage more deeply with the testing process, fostering collaboration and innovation across project teams.

Drizz not only illustrates a significant advancement in the field of AI-driven software testing but also marks a step forward in enabling teams to keep pace with the rapid development cycles of modern applications. As the tech landscape accelerates, solutions like Drizz will be paramount in maintaining quality assurance standards while harnessing the benefits of AI technology.