QA That Can't Keep Up With AI-Written Code

AI coding tools have made it faster than ever to ship new features, but the testing process to validate those features hasn't kept pace. Engineering teams are shipping more code, more often, while QA remains a manual, human-driven bottleneck — someone has to click through the app, check that the checkout flow still works, and confirm the login screen didn't break on the latest Android build. Autosana is building agentic QA to close that gap, using AI agents that write and execute end-to-end tests across iOS, Android, and web apps without a human writing a single test script.

What They're Building

Autosana's platform deploys AI agents that behave like real users: tapping through onboarding flows, filling out forms, navigating multi-step checkouts, and verifying that the app behaves as expected at every step. The agents understand app UI the way a human tester would, so they can adapt to interface changes instead of breaking every time a button moves or a screen gets redesigned — a persistent failure mode of traditional brittle, selector-based test scripts. Teams point Autosana at their app, describe the flows that matter, and the agents handle the rest: writing the test cases, running them continuously, and flagging regressions before they reach production.

The platform covers the full spread of surfaces modern products ship on — native iOS, native Android, and web — from a single testing layer, which means teams no longer need separate tooling and separate expertise for each platform. Since emerging from Y Combinator's Summer 2025 batch, Autosana has been rolling the product out to engineering teams that are shipping faster than their QA processes can verify, particularly teams leaning heavily on AI pair programmers and agents to generate code.

Founders Yuvan Sundrani and Jason Steinberg built Autosana around a simple observation: as AI-generated code becomes a larger share of what ships, the volume and velocity of change outstrips what manual QA teams can realistically cover. Autosana's $3.2 million seed round, covered by Yahoo Finance, GlobeNewswire, and Finsmes, is funding the team and infrastructure to expand agentic test coverage to more platforms and more complex app flows.

Why It Matters

Manual QA is slow, expensive to scale, and increasingly the weakest link in the modern software delivery pipeline. As AI tools accelerate how fast code gets written, the testing layer needs to accelerate just as fast or it becomes the new bottleneck blocking releases. Autosana's bet is that agentic QA — agents that test the way a human would, but continuously and at machine speed — is the only way testing keeps up with an AI-accelerated development cycle.