Vision AI agents for faster mobile app releases

This article is a part of Startup Spotlight, a series that features young, up-and-coming startups.

Asad Abrar, Partha, and Yash once watched a team delay a software release get delayed by over 40 false-positive test failures. A designer simply moved a button and broke the underlying test selectors.

They founded Drizz to prevent fragile tests becoming a bottleneck for mobile engineering teams.

😟 Problem

AI-assisted coding is shortening development cycles, but traditional testing still relies heavily on static selectors that can break when an app’s interface changes. Under release pressure, teams may also skip edge-case testing, allowing undiscovered bugs to reach users.

These failures create unnecessary work for engineering teams, which must determine whether a failed test reflects a genuine bug or simply a change in the app’s interface.

💡 Solution

Drizz provides vision-language AI agents that test mobile applications:

• The software reads app screens pixel-by-pixel on physical devices.
• Users write test flows entirely in plain English without coding static selectors.
• Agents automatically self-heal test flows when the user interface shifts.
• The platform flags broken flows and attaches diagnostic video recordings.

Image credit: Drizz

📊 Market size

Drizz targets companies operating with dedicated mobile engineering teams. The US market holds up to 15,000 qualifying companies, creating a US$200 million serviceable segment at average contract values of US$15,000. India adds an estimated US$30 million to US$40 million.

🤝 Team

• Asad Abrar. Co-founder and CEO. He previously built and shipped consumer mobile products at Swiggy and Gojek.
• Partha Sarathi Mohanty. Co-founder and CPO. He previously managed consumer product launches and engineering teams at Amazon and Zolo.
• Yash Varyani. Co-founder and CTO. He leads the vision AI architecture behind Drizz’s selector-free testing approach.

🚀 Traction

• Launched as the second most popular product of the day on Product Hunt.
• Deployed by mobile engineering teams at major Indian food delivery and logistics applications.
• Secured multiple active pilot programs with prospective enterprise clients.

🏆 Competition

The startup competes with AI-native testing platforms such as Mabl, Katalon, and Kobiton. Many existing tools still depend on code-based integrations or underlying test scripts to interact with applications.

💰 Financials

🚩 Risks