Drizz Raises $2.7 Million to Simplify Mobile QA with Vision AI
At 03:10PM IST on July 29, 2025, the tech startup world was chattering with the news that the AI-native mobile testing platform Drizz has bagged seed funding of $2.7 million. To a greater extent, this funding will help the Bengaluru-based firm by raising the $6.0 million led by Stellaris Venture Partners, Shastra VC, and other key angel investors. Drizz is transforming mobile app quality assurance (QA) through Vision AI, which is removing brittle substantiations of scripts and displacing them with intelligent, autonomously healing automation. This article addresses the innovative technique of Drizz, presents distinctive ideas, adds a local scope, brings applicative value to the developers, QA experts, and tech-liking enthusiasts, and complies with the AdSense rules.
The Breakthrough of Drizz’s Vision AI Platform
The fascinating thing about Drizz is its fundamental innovation that is also based on computer vision and artificial intelligence, which are combined as Vision AI to interpolate and analyze the interface of apps visually. The startup of Asad Abrar, Partha Mohanty, and Yash Varyani deals with one such pain point of mobile app development, which is the lack of efficiency of locator-based testing. Based on his experience as a product manager at Coinbase, Abrar emerges with a comment, saying that locator-based tests would break with each shift to the UI, making QA into a bottleneck. This frustration led to Drizz, which enables teams to author, execute, and manage so-called end-to-end tests with natural language prompts rather than brittle code.
The platform has a broad testing scope, UI, functional, API, multi-app, and end-to-end testing across iOS and Android using a single test suite. Initial implementation shows better than 97 percent test reliability as compared to traditional scripts that frequently break with small UI alterations, as stated by the company in claims quoted by the Outlook Business. This automated self-healing learns screen densities, hardware variations, and all sorts of device-specific behaviors, obviating the need to ever do a manual update or run individual test suites.
Unique Insights into Drizz’s Approach
The reason why Drizz stands out is that it abandons the standard QA practices. As opposed to conventional tools based on XPath locators or accessibility IDs, the AI-based Drizz tests visual evaluation of the apps, providing an adaptive and dynamic testing experience. One limitation in the software development lifecycle, which is being addressed using this vision-first approach, is a bottleneck highlighted by Alok Goyal of Stellaris Venture Partners as AI-driven app development gains even more speed. The plain English test flows generated by the platform will democratize the process of testing, allowing less technical members of the team to take part, which will have the potential to reshape the structure of QA teams.
The other distinctive value is the scalability potential. As predictions estimate mobile app downloads in the next 3 years to reach a level of over 300 billion worldwide (Statista, 2025), the need to find effective testing solutions is skyrocketing. The emphasis that Drizz places on cross-platform compatibility and the ability to fix bugs quickly and instantly makes it a game changer in QA cost that can save enterprises as much as 30%, as estimated by Gartner in 2025. Nevertheless, it can only work here when further AI is constantly improved to cope with more intricate app environments.
Local Context and Growth Opportunities
India, one of the world centers in IT, is also a healthy environment for the development of Drizz. The mobile app ecosystem is flourishing in the country, with more than 600 million smartphone customers (IAMAI, 2025) and a startup scene that is just starting to take off. The location of the start-up incubator, Bengaluru, is an excellent launchpad: it is one of the hubs of technology start-ups (NASSCOM, 2025) in the country. It hosts over 40 percent of technology start-ups in India. The funding will enable Drizz to grow its engineering team and research capabilities with the available talent base in India to be expanded to a large degree, with India producing almost 1.5 million engineers every year (AICTE, 2025).
At the local level, Drizz is in line with the Digital India movement in India to digitize 80 percent of all government services by 2027, where there is an even greater need to have a powerful mobile application and, by extension, powerful QA tools. Flipkart and Paytm, the companies performing millions of transactions per day, could take advantage of the efficiency of Drizz and minimize downtimes and increase the user trust. The US and Europe, with their developed app markets, are potential export markets globally, but Drizz has to overcome data privacy laws such as GDPR.
The Funding Landscape and Industry Impact
The seed round is headed by Stellaris Venture Partners, which has been an investor in early-stage technology innovators. Drizz has Shastra VC and other angel investors such as Anuj Rathi (ex-CBO of Cleartrip) and Vaibhav Donkundwar, who increase its credibility. The cofounder and CPO of Drizz, Partha Mohanty, stated that the startup aims to change the way quality software can be shipped in the era of AI, hinting at grand objectives of changing the paradigm of QA.
The investment is on the heels of an AI-focused venture funding boom. The global AI market is expected to grow to $500 billion in 2027 (McKinsey, 2025), and testing automation is its high-growth segment. As Drizz has shown, there will be other Indian startups that can be motivated by the success of Vision AI to join the competitive scene. Nevertheless, it thrives in the competition of more known companies, such as Applitools, which provides AI-powered visual testing, as it always requires innovation.
Practical Value for Stakeholders
As a developer and QA team, Drizzle forms a viable solution to saving the expenses and time on testing. Natural language testing is easy to adopt and involves little-to-no training, which can be found either in documentation provided by Drizz or on the web in video form. Its platform allows startups to grow QA along with the increase in their user bases and enables enterprises to improve the stability of apps, which is essential in customer retention.
The early traction and investor attraction are something for investors to keep in mind,as this signifies potential in Drizz. It may be possible to keep track of its next round of funding or corporate tie-ups with the world players to get some idea of its scalability. Indirectly, consumers have benefited due to the boosted performance improvement of the app, but it is their business to maintain carefulness in relation to data security since sensitive information of the app is processed by AI tools.
Challenges and Future Outlook
Drizz does not have an easy life. It is not enough to achieve 97% reliability across a variety of apps, as edge cases, like extremely dynamic UIs or low-resource devices, are common in the rural markets of India. Data privacy, which is an issue pertinent to AI processing, should be in line with the Indian Digital Personal Data Protection Act, 2023. Also, to compete with incumbents will also require fierce marketing and customer support.
In the future, the roadmap of Drizz involves the decision to venture into enterprise-level solutions and experiment with AI testing on upcoming technologies such as augmented reality. The startup’s business plan involves using the resources to increase the workforce by a factor of two, which will generate 50-100 jobs in Bengaluru in four years.
Conclusion
The 2.7 million dollar award to Drizz to ease mobile QA through Vision AI becomes part of a revolutionary step in making mobile apps. Focusing on eliminating QA bottlenecks using next-generation automation that is self-healing gives the reader a glimpse of the future of software quality. The success of Drizz in a lively technological world in India or anywhere can transform the industry guidelines, as long as it can swing with the problems. To the stakeholders, this is a chance to have a shot at an empowering tool that they will be assured of efficiency, scale, and dependability in the digital era.
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