As AI transforms how software is written, testing remains painfully manual. Traditional test frameworks can’t keep up with AI-generated code or today’s rapidly evolving mobile apps – and it’s costing teams time, confidence, and revenue. Drizz, founded by Asad Abrar, Partha Mohanty, and Yash Varyani – engineers from Amazon, Coinbase, and Gojek – is taking on this challenge. Today, the company launches from stealth and announces a $2.7 million seed round to introduce the fastest Vision AI mobile app testing agent.
The round was led by Stellaris Venture Partners and Shastra VC, with participation from Anuj Rathi (ex-CBO, Cleartrip) and Vaibhav Domkundwar. The funding will fuel the continued development of Drizz’s Vision AI engine, enhancing its speed, accuracy, and usability across enterprise environments.
Drizz allows teams to write, run, and maintain end-to-end test coverage using plain English prompts instead of fragile code. The system evaluates apps visually – just like a real user – eliminating the need for locator selectors, manual updates, or separate test suites across devices. Its AI doesn’t rely on brittle xPath locators or accessibility IDs, and instead interprets the UI visually – adapting automatically to screen density, hardware differences, and device-specific behaviors.
Developers and QA teams can run tests across iOS and Android using one shared suite, generate test flows in natural language, and rely on self-healing automation that stays stable across UI changes. The platform is built for production readiness, with support for CI/CD pipelines, real device cloud testing, real-time reporting, and full enterprise-grade compliance. Drizz supports a comprehensive range of testing needs – including UI, Functional, API, multi-app, and end-to-end testing.
The system also supports field-level fallback logic and step-by-step execution that boosts reliability and makes debugging easier – even on the most complex interfaces. This opens doors for non-technical stakeholders to actively contribute test scenarios, with no coding required. It streamlines collaboration and helps teams move efficiently. In early deployments, Drizz has helped teams achieve over 97% test accuracy, and reduce test creation time by a factor of 10.
The company is already working with multiple unicorns globally and is seeing strong developer engagement, with users spending an average of 15 hours per week writing and executing test cases. Looking ahead, Drizz plans to extend its vision-based infrastructure toward testing for visually rich and highly interactive environments – areas where traditional locator-based tools can’t operate due to dynamic interfaces and the lack of deterministic DOM structures.
With AI redefining the speed and complexity of software creation, Drizz is supercharging teams to test faster and ship confidently.
Ex-Amazon, Coinbase engineers launch Drizz with $2.7M for Vision AI mobile app testing agent
Posted in Commentary with tags Drizz on July 28, 2025 by itnerdAs AI transforms how software is written, testing remains painfully manual. Traditional test frameworks can’t keep up with AI-generated code or today’s rapidly evolving mobile apps – and it’s costing teams time, confidence, and revenue. Drizz, founded by Asad Abrar, Partha Mohanty, and Yash Varyani – engineers from Amazon, Coinbase, and Gojek – is taking on this challenge. Today, the company launches from stealth and announces a $2.7 million seed round to introduce the fastest Vision AI mobile app testing agent.
The round was led by Stellaris Venture Partners and Shastra VC, with participation from Anuj Rathi (ex-CBO, Cleartrip) and Vaibhav Domkundwar. The funding will fuel the continued development of Drizz’s Vision AI engine, enhancing its speed, accuracy, and usability across enterprise environments.
Drizz allows teams to write, run, and maintain end-to-end test coverage using plain English prompts instead of fragile code. The system evaluates apps visually – just like a real user – eliminating the need for locator selectors, manual updates, or separate test suites across devices. Its AI doesn’t rely on brittle xPath locators or accessibility IDs, and instead interprets the UI visually – adapting automatically to screen density, hardware differences, and device-specific behaviors.
Developers and QA teams can run tests across iOS and Android using one shared suite, generate test flows in natural language, and rely on self-healing automation that stays stable across UI changes. The platform is built for production readiness, with support for CI/CD pipelines, real device cloud testing, real-time reporting, and full enterprise-grade compliance. Drizz supports a comprehensive range of testing needs – including UI, Functional, API, multi-app, and end-to-end testing.
The system also supports field-level fallback logic and step-by-step execution that boosts reliability and makes debugging easier – even on the most complex interfaces. This opens doors for non-technical stakeholders to actively contribute test scenarios, with no coding required. It streamlines collaboration and helps teams move efficiently. In early deployments, Drizz has helped teams achieve over 97% test accuracy, and reduce test creation time by a factor of 10.
The company is already working with multiple unicorns globally and is seeing strong developer engagement, with users spending an average of 15 hours per week writing and executing test cases. Looking ahead, Drizz plans to extend its vision-based infrastructure toward testing for visually rich and highly interactive environments – areas where traditional locator-based tools can’t operate due to dynamic interfaces and the lack of deterministic DOM structures.
With AI redefining the speed and complexity of software creation, Drizz is supercharging teams to test faster and ship confidently.
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