Ship faster with AI agents that create and run your QA tests

Software development is a race against time. Businesses are under constant pressure to ship faster, deliver flawless user experiences, and stay ahead of the competition.

Yet, one bottleneck consistently slows progress: quality assurance testing.

Manual testing, the traditional go-to for QA, is labor-intensive, time-consuming, and prone to human error. Scripted tests, while a step in the right direction, require a huge effort to create and maintain, especially as applications evolve. For many SaaS companies, this means valuable developer time is diverted from innovation to debugging and maintenance. The result? Delays, increased costs, and a growing frustration within development teams.

Which is why it’s refreshing to see QA Tech entering the market of AI-powered software testing & QA. Their AI-powered agent, Jarvis, not only identifies 95% of bugs but does so in a fraction of the time manual methods require. By scanning applications, learning their structure, and creating adaptive, user-centric tests, QA Tech ensures faster, more accurate results. This means teams can focus on building groundbreaking features instead of wrestling with QA roadblocks.

If you’re a developer (or even work with them) you can already see the time, energy, and money savings that automated (and accurate) QA testing can bring your business.

How It Works

Jarvis scans your application like a detective, creating a detailed memory of its structure and behavior. From there, it generates end-to-end tests based on real user interactions and business objectives.

Need to test a new feature? Jarvis adapts in real time, generating relevant tests instantly. It’s like giving your app a brain—and then letting that brain obsess over every potential bug.

But it doesn’t stop there.

With seamless integration into your CI/CD pipeline, QA Tech ensures continuous testing that keeps up with the pace of your development. You get developer-friendly bug reports packed with actionable details—console logs, network requests, and even automatic comments on your pull requests. 

But Does It Work?

The true test of any tool is how it performs in the wild, and QA Tech is already turning heads. Early-access companies like Shoplab and Triggerbee have seen firsthand what happens when testing moves from manual slog to AI-driven brilliance.

Take Shoplab, for example. Their CEO, Alexander Fugah, summed it up perfectly: “We’re adding new tests every week and getting suggestions we hadn’t even thought of testing before. QA Tech is truly a game-changer for our engineers.” For a team once bogged down by testing inefficiencies, QA Tech didn’t just free up time—it created space for real innovation.

And then there’s Triggerbee, whose CTO, Johan Lindholm, praised QA Tech for its ability to evolve with their product. “Traditionally, end-to-end tests require a lot of manual maintenance,” he explained, “but QA Tech’s tests evolve automatically.” It’s not just automation—it’s automation that thinks ahead.

With over 40 companies already using its beta version, QA Tech isn’t just proving its value—it’s setting a new standard. 

Venture Capital Backing

QA Tech is entering a new chapter, backed by a €3 million seed round led by PROfounders and joined by forward-thinking investors like Curiosity and byFounders. This funding is a signal that the industry is ready for change—and QA Tech is at the forefront of that transformation.

With their public release rolling out, QA Tech is preparing to expand their team, enhance their AI-driven testing capabilities, and bring their cutting-edge solution to even more businesses. 

Joe Bond, partner at PROfounders, captured the excitement: “QA Tech’s autonomous agents offer a transformative approach to software testing, redefining what’s possible in terms of speed and capability.”

This investment isn’t just about improving a product—it’s about revolutionizing the way software is built and tested. QA Tech is clearing the path for developers to focus on innovation, while their AI handles the heavy lifting of testing. With momentum on their side and a clear vision for what’s next, they’re shaping the future of quality assurance—and the companies who join them now will be ready to lead.

Final Thoughts

AI-Assisted QA is inevitable. You can choose to find a solution for your business now, or you can play catch up while your competitors implement AI into their workflows.

From what I’ve seen from QA Tech, they’re a great place to start.

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