While AI accelerates software development at unprecedented speeds, mobile app testing remains stuck in the stone age. Traditional frameworks crumble under AI-generated code and rapidly evolving interfaces, creating bottlenecks that cost teams time, confidence, and revenue. Today, Drizz emerges from stealth with a revolutionary solution: the world's fastest Vision AI mobile app testing agent that transforms testing from brittle code to simple English commands.
Founded by veteran engineers Asad Abrar (Amazon, Coinbase), Partha Mohanty (Amazon), and Yash Varyani (Gojek), Drizz has secured $2.7 million in seed funding led by Stellaris Venture Partners and Shastra VC, with participation from industry leaders including Anuj Rathi (ex-CBO, Cleartrip) and Vaibhav Domkundwar.
The Testing Crisis in the AI Era
As AI transforms how software is built, testing has become the critical bottleneck. Traditional locator-based frameworks break with every UI change, forcing QA teams into endless maintenance cycles. Complex mobile interfaces with dynamic elements, random popups, and device-specific behaviors render conventional testing tools practically useless.
"Every app team is accelerating with AI, but testing still lags decades behind," said Asad Abrar, CEO and co-founder of Drizz. "At Coinbase, I watched locator-based tests shatter with every minor UI shift, turning QA into our biggest bottleneck. We built Drizz to finally give testing the AI-native foundation it desperately needs."
Vision AI That Tests Like Humans Think
Drizz's breakthrough lies in its multimodal Vision AI engine that interprets mobile interfaces exactly as humans do – visually, contextually, and adaptively. Instead of fragile xPath locators or accessibility IDs, Drizz understands screen layouts, UI context, and user intent through computer vision.
The platform enables teams to:
- Write tests in plain English: "Tap on Instamart, then Beverage Corner, add the first coffee to cart"
- Achieve 10X faster test creation with zero coding required
- Maintain 97% test accuracy across devices and UI changes
- Execute across iOS and Android with unified test suites
- Self-heal automatically when interfaces evolve
"Our multimodal engine reads screens like humans do," explained Yash Varyani, CTO and co-founder. "Dynamic elements, changing layouts, device differences – none of it breaks our tests. When something does fail, we provide screenshot-level debugging that pinpoints exactly what went wrong."
Production-Ready from Day One
Unlike experimental AI testing tools, Drizz is built for enterprise deployment with comprehensive support for:
- CI/CD pipeline integration for continuous testing
- Real device cloud testing across hundreds of configurations
- Enterprise-grade compliance and security standards
- Multi-app and API testing beyond UI validation
- Real-time reporting with intelligent bug detection
Early adopters, including multiple unicorn companies, report dramatic improvements in testing efficiency. Teams now spend an average of 15 hours weekly creating and executing tests – time previously lost to maintenance and debugging.
By eliminating coding requirements, Drizz empowers non-technical stakeholders to contribute test scenarios directly. Product managers, designers, and business analysts can now author comprehensive test suites using natural language, dramatically expanding testing coverage while reducing technical debt.
"We're witnessing teams enable 20 critical test cases in their CI/CD pipeline within a single day," said Partha Mohanty, CPO and co-founder. "Test authoring becomes effortless, execution highly accurate, and bug resolution near-instant – all powered by intelligent automation."
