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 intends 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.

Image: Drizz