Autosana Lands $3.2M to Automate Mobile and Web UI Testing with Agentic AI

In an exciting development for the tech industry, Autosana Inc., a startup focused on enhancing quality assurance for mobile and web applications, has successfully raised $3.2 million in early-stage funding. This funding marks a significant step for the company as it aims to revolutionize user interface (UI) testing through the use of agentic artificial intelligence.

The Challenge of UI Testing

Quality assurance (QA) in mobile and web applications has long been a complex and challenging aspect of software development. The front-end user interface and user experience often present unique difficulties, particularly as the technology landscape continues to evolve rapidly. Autosana’s co-founders, Yuvan Sundrani and Jason Steinberg, have a shared history in mobile development and have witnessed firsthand the pain points associated with mobile application testing.

Steinberg describes mobile development as “the most unsolved problem,” highlighting the disparity in attention given to mobile frameworks compared to web development. While web applications benefit from a plethora of frameworks and tools, mobile applications have not seen the same level of support. This gap has created a significant demand for effective QA solutions that can keep pace with the rapid development cycles of modern applications.

The Role of Agentic AI

Autosana’s platform leverages agentic AI to streamline the testing process. By transforming codebases and natural-language prompts into test suites and automated testing flows, the platform aims to alleviate the burden of UI testing. As development teams increasingly rely on AI tools to accelerate feature creation, the need for robust QA processes becomes even more critical. In fact, the co-founders noted that while development time may be compressed, the QA workload has increased, particularly for small teams that lack dedicated QA resources.

Understanding the QA Bottleneck

Regression testing, which involves verifying that new features do not introduce bugs or issues, is a common bottleneck in the development process. This challenge is particularly pronounced for small teams, where resources are limited and the pressure to release updates is high. As modern applications frequently undergo changes, the risk of breaking existing functionality grows, leading to frustration for end users.

Autosana’s platform addresses this issue by acting as an intermediary between development cycles. Customers can input their codebase and specifications into the system, which then generates comprehensive tests. This capability caters to a diverse range of testers, from technical engineers seeking a more integrated solution to non-technical manual testers who prefer a user-friendly interface that allows them to interact with the system using natural language.

Transforming Manual Testing

Manual testing has traditionally relied on spreadsheets that serve as extensive checklists for testing protocols. These spreadsheets outline what needs to be tested, how it should be tested, and the results of those tests. However, this method can be cumbersome and prone to human error. Autosana’s platform offers a solution by automating the testing process, allowing the AI agent to navigate through every test case without the need for manual intervention.

Steinberg likens Autosana’s approach to a “glorified spreadsheet,” emphasizing that the platform can handle testing tasks that would otherwise require significant manual effort. Unlike traditional rules-based automation, which can struggle to adapt to changes in the UI, Autosana’s agentic system possesses the ability to “self-heal” around UI modifications. This means that even if a button moves, disappears, or changes function, the system can intelligently adjust its testing approach to accommodate these changes.

Expanding Capabilities

Currently, Autosana’s platform supports quality assurance for both iOS and Android applications, as well as web apps. The company has recently expanded its capabilities to include web functionality, further broadening its market reach. According to the founders, Autosana has been experiencing impressive revenue growth, averaging over 100% month-over-month since its launch in June 2025. This growth is indicative of the increasing demand for effective QA solutions in the software development industry.

The Future of QA with AI

Looking ahead, Sundrani and Steinberg are confident that the traditional approach to QA, characterized by brittle end-to-end scripts, is nearing its end. They envision a future where AI agents can seamlessly integrate into the testing process, understanding user intent and adapting to constant UI changes in a manner akin to human testers, but at a much larger scale.

Autosana’s vision extends beyond mobile and web applications, with aspirations to develop a comprehensive, agent-driven QA platform that can eventually encompass desktop applications and more complex validation processes. This ambitious goal reflects the founders’ belief that the future of software testing lies in harnessing the power of AI to create more efficient and effective QA solutions.

Conclusion

In summary, Autosana’s innovative approach to automating mobile and web UI testing through agentic AI represents a significant advancement in the field of quality assurance. By addressing the challenges faced by development teams and providing a user-friendly platform for both technical and non-technical testers, Autosana is poised to make a lasting impact on the software development landscape.

Frequently Asked Questions

Note: Autosana’s approach to automating UI testing is set to redefine quality assurance in the software development industry, offering a glimpse into the future of testing powered by AI.