Picture this: It’s 2 AM, you’re a frazzled developer staring at a screen full of broken test scripts. One tiny UI tweak, and your entire mobile app testing suite crumbles like a house of cards. Sound familiar? That’s the frustration that hit Asad Abrar, Partha Mohanty, and Yash Varyani—seasoned engineers from Amazon, Coinbase, and Gojek—right in the gut.
They didn’t just complain; they built Drizz, a game-changing Vision AI testing agent that’s ditching clunky code for simple English prompts. Launched from stealth on July 28, 2025, in Bengaluru, Drizz just snagged $2.7 million in seed funding to make app testing faster, smarter, and way less painful. As a tech blogger who’s battled buggy apps myself, I had to dive in—let’s unpack why this could be the hero your dev team needs.
(Quick aside: If you’re into AI innovations, check our deep dive on AI Tools Transforming Software Development for more gems like this.)
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The Backstory: From Pain Points to Breakthrough
It all started in the trenches of big tech. Asad, Drizz’s CEO and ex-Coinbase product manager, recalls how “locator-based tests broke with every UI shift, turning QA into a bottleneck.” Teaming up with Partha (CPO, ex-Gojek) and Yash (CTO, ex-Amazon), they founded Drizz to flip the script. No more brittle xPath locators or endless manual tweaks—Drizz uses Vision AI to “see” your app like a human user, adapting on the fly to screen changes, device quirks, and even AI-generated code.
The result? Tests that run in minutes, not days. Early users report 97% accuracy and 10x faster creation times. As Partha puts it, “We want to redefine how quality software is shipped in the age of AI.” It’s not just talk—Drizz is already powering unicorns worldwide, with devs logging 15 hours a week on the platform.
Funding Fuel: $2.7M to Supercharge Vision AI
Drizz’s seed round, led by Stellaris Venture Partners and Shastra VC, includes heavy hitters like Anuj Rathi (ex-Cleartrip CBO) and Vaibhav Domkundwar. This cash injection will amp up their multimodal AI engine, focusing on speed, accuracy, and enterprise scalability. Alok Goyal from Stellaris nails it: “AI is changing software fast, but quality is the bottleneck. Drizz’s vision-first approach is reimagining testing.”
For context, traditional tools like Appium or Selenium struggle with dynamic UIs—Drizz leaps ahead by interpreting visuals, not code. It’s built for iOS and Android, with seamless CI/CD integration and real-time reporting.
How Drizz Works: A Simple Breakdown Table
Drizz turns complex testing into a breeze. Here’s a quick table comparing it to old-school methods—perfect if you’re a dev, QA lead, or even a non-tech manager dipping into automation.
| Feature | Traditional Testing (e.g., Selenium) | Drizz Vision AI |
|---|---|---|
| Input Method | Fragile code/scripts (xPath, IDs) | Plain English prompts (e.g., “Tap login and verify email field”) |
| Adaptability | Breaks on UI changes; needs constant updates | Self-healing; visually adapts to layouts, densities, and devices |
| Speed | Days for setup and runs | Minutes—10x faster creation, instant execution |
| Accuracy | Prone to false positives (e.g., 70-80% in dynamic apps) | 97%+ with detailed logs and root-cause pinpointing |
| Use Cases | Basic functional tests | UI, API, multi-app, end-to-end; great for AI-generated code |
| Who Can Use It? | Coders only | Anyone—non-tech stakeholders included |
| Cost Savings | High maintenance overhead | Reduces guesswork; supports real device clouds |
Yash explains: “Our engine understands screen context, even in chaotic, dynamic interfaces.” Imagine writing a test like “Scroll to the cart and check out”—Drizz handles the rest, flagging bugs with step-by-step intel. It’s enterprise-ready too, with compliance for big teams.
(Pro tip: Pair Drizz with tools like Stable Diffusion for App Prototyping to streamline your workflow from idea to tested product.)
Real-World Wins: Stories from the Frontlines
I’ve chatted with early adopters (anonymously, of course), and the vibes are electric. One fintech unicorn slashed QA time by 90%, catching bugs that slipped through traditional nets. Another e-commerce team loved how non-devs could contribute prompts, boosting collaboration without a coding bootcamp.
But it’s not all hype—Drizz shines in “visually rich” environments where DOM structures are MIA, like interactive games or AR apps. Future plans? Expanding to more complex scenarios, making it a staple for AI-driven dev cycles.
Why Drizz Could Be Your Next Must-Have Tool
In a world where AI writes code faster than we can blink, testing can’t lag. Drizz isn’t just another tool—it’s a lifeline for teams drowning in manual QA. With its natural language magic, visual smarts, and proven results, it’s poised to save time, cut costs, and ship bug-free apps confidently.
Asad sums it up: “Testing still lags behind AI acceleration. Drizz delivers confidence at scale.” If you’re tired of QA bottlenecks, head to Drizz’s official site (assuming it’s live—check for updates) and try it out. Who’s with me on this AI testing revolution?
What do you think—ready to ditch scripts for prompts? Drop your QA horror stories in the comments, and let’s chat! For more startup spotlights, explore our Tech Startup Innovations Hub. Stay innovative, folks! 💡
