Drizz Raises $2.7M for AI-Powered Vision-Based Mobile App Testing

Drizz launches with $2.7M to provide vision-based testing AI for mobile apps - SiliconANGLE

Drizz launches with $2.7M to provide vision-based testing AI for mobile apps Drizz Automation Technologies Pvt. Ltd., a company that uses vision-enabled generative artificial intelligence agents to test mobile applications, today announced it launched with $2.7 million in seed funding. The round was led by Stellaris Venture Partners and Shastra VC, with participation from former Cleartrip Chief Business Officer Anuj Rathi and Vaibhav Domkundwar. The company said it intended to use the funds to continue development of its Vision AI app testing engine, enhance its speed, accuracy and usability for enterprise environments. Drizz's platform allows teams to write, run and maintain test coverage for mobile apps using plain English instead of complex code. The system evaluates user interfaces and experiences using visuals, similar to how a user would. As a result, it eliminates the need to use the underlying user interface elements or manual updates to produce test suites across different devices. "Every app team is accelerating with AI, but testing still lags behind," said co-founder and Chief Executive Asad Abrar. "During my time as a product manager at Coinbase, locator-based tests broke with every UI shift, turning [quality assurance] 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." The company explained that by using AI, developers can avoid using fragile XPath locators or accessibility IDs, allowing vision to interpret the UI instead. This permits tests to adapt to different screen sizes, form factors, hardware differences and device behaviors. "Where traditional testing may break, Drizz remains stable and flags bugs with detailed log intelligence that pinpoints the root cause," said co-founder and Chief Technology Officer Yash Varyani. "This ultimately saves testing teams both time and guesswork." Test flows can be generated in natural language for iOS and Android using simple statements and the AI can self-heal even across UI changes. For example, a developer can define tests using Drizz's Copilot AI by asking it to generate test cases by telling it, "I want to test my app's functionality to search restaurants, select a restaurant, select menu items, put them in a cart, check out, complete an order and then land back on the home screen when complete." From there, the Copilot will create a complete set of test validations. If it encounters any potential ambiguities, it will ask questions to clarify them. The company said the platform was built for production readiness and supports modern DevOps high-speed workflows such as continuous delivery and continuous integration, also known as CI/CD, pipelines, and cloud testing. The platform offers real-time reporting and comprehensive enterprise-grade audit trails for security and compliance. Testing teams will also benefit from a complete suite of thorough testing options for UI, functionality, application programming interfaces and multi-application scenarios. The company said, looking ahead, it plans to extend its vision-based capabilities to include testing other visually rich interactive software environments where deterministic software tests cannot operate fluidly due to their lack of deterministic underlying code structures.

Mobile testing platform Drizz raises $2.7 million from Stellaris Venture Partners, others - The Economic Times

Vision AI mobile app testing platform Drizz has raised $2.7 million in its maiden funding round, which was led by early-stage venture capital firm Stellaris Venture Partners. The round also saw early-stage venture fund Veda VC, as well as angel investors, including Cleartrip's former CBO Anuj Rathi and Better Capital founder and CEO Vaibhav Domkundwar, participate. The funds will be used to advance the company's vision AI engine, expand its engineering team and strengthen research capabilities. Vision AI refers to the integration of computer vision and AI capabilities to interpret and analyse images. "Building any company involves three core aspects: building, testing, and selling...Testing is a critical step in the overall functioning of the company because if it's not done correctly, it can lead to app failures, significant revenue loss, and customer dissatisfaction," cofounder and chief executive Asad Abrar told ET. Founded in 2024 by Abrar, Partha Sarathi Mohanty, and Yash Varyani, the Bengaluru-based startup enables developers and QA teams to write, run, and maintain end-to-end test coverage using English prompts instead of traditional test code. It caters to a wide range of testing needs, including user interface (UI), functional, application programming interface (API), and multi-app requirements. "The current testing process, which is done manually, takes up 20% of developers' time. Drizz is trying to automate this process," Abrar said, noting that with Drizz, testing would only take 2-3% of developer time. The business-to-business (B2B) startup operates across various sectors, including ecommerce, hyperlocal logistics, and real-money gaming. According to Abrar, the startup currently has customers in India and the US. "In terms of revenue, we definitely aim to reach the million-dollar mark within a year or so. We want to support complete testing workflows for all our clients, which could potentially scale up to around a million tests per day," he added. Commenting on the investment, Alok Goyal, partner at Stellaris Venture Partners, said, "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."