Ship Fast, Break Nothing: Autonoma and Groq are Rewriting the Rules of Software Quality

Meet Autonoma

If you've ever cringed watching a banking app crash mid-transaction, or experienced that sinking feeling when a new product release breaks something that used to work perfectly, you already understand the problem Autonoma was built to solve.

Founded by Eugenio Scafati (CEO), Tom Piaggio (CTO), Nicolas Marcantonio (CPO), and Simon Faillace Mullen (VP of Engineering)—all of whom are former Google engineers—Autonoma uses AI agents to help companies catch bugs before they reach customers. The platform simulates real users interacting with mobile and web applications, automatically validating that everything works exactly as expected every time new code ships.

"Customer requirements are much stricter now," says Eugenio. "People are shipping a lot of code with AI, but testing all of that code has become the bottleneck. You can't ensure everything works as fast as you can now write it."

Autonoma was created to fill that gap.

The problem no one wants to talk about, but every engineering team faces

Picture this: a fintech company is about to roll out a new peer-to-peer payment feature. The engineering team needs to verify the new feature works, but they also need to make sure nothing else broke in the process. Can users still log in? Make deposits? Check their balance?

Traditionally, that kind of regression testing took days. Some of Autonoma's customers were spending three full days manually running through test scenarios before every deployment. Three days of slowed velocity. Three days where bugs could be lurking undetected.

Autonoma's AI agents handle all of this automatically—from generating test scenarios and simulating users, to capturing screenshots, analyzing what's on screen, deciding what to interact with, and validating every step along the way. No manual scripts. No armies of QA testers. Just intelligent agents doing the heavy lifting, around the clock.

Why speed isn't a nice-to-have, it's the whole game

When Autonoma's team set out to build their test creation interface, they knew one thing immediately: nobody was going to sit around waiting for a spinner to finish.

"We create tests in real time," explains Tom. "We don't want users waiting while something is loading. The experience has to feel instant."

That's where Groq entered the picture.

Autonoma started out using OpenAI because they had credits and it was the early days of the space. But as their product matured and customer experience became paramount, latency started to matter in a very real way. Their Azure-hosted models were stuck on older versions, and performance was becoming a bottleneck.

"When we moved our workloads to GroqCloud, Time to First Token went from seconds to milliseconds," says Eugenio. "That's the kind of shift that changes how a product feels."

With Groq's fast inference powering the test creation interface, users can describe what they want to test in plain natural language and watch it come to life—in real time, no lag, no friction.

The architecture behind the magic

Autonoma's platform isn't just fast at one thing. It's built to handle the kind of wildly spiky, high-volume workloads that come with modern software delivery.

"A single customer can throw thousands of tests at the same time," Tom explains. "The moment someone pushes a new update and kicks off their CI/CD pipeline, we might go from idle to thousands of concurrent jobs in seconds. We need fast scalability, not just fast inference."

Their architecture runs massively parallel jobs, with each one testing a different application instance and each step validated by AI agents embedded throughout the workflow. Groq handles two key models in this stack:

• Llama 4 Maverick 17B-128E because Autonoma's agents don't just read text, they see the app. Screenshots are captured, analyzed, and acted upon in real time. If your app has a button, Autonoma's agent will find it.
• Qwen QwQ 32B for smaller, faster workloads like naming a test or making a quick determination mid-workflow.

"Vision was non-negotiable for us," says Tom. "We need to understand the UI, and have the ability to process image and text together. That requires multimodal reasoning with low latency. Groq was one of the only providers that could give us both the speed and the vision capability we needed."

The results speak for themselves

The numbers tell a compelling story:

• Regression testing time: from 3 days → single-digit minutes for some customers
• Avoidable bugs caught: tracked and reduced across every deployment
• Tests run: hundreds of thousands every week
• Enterprise clients: 20+ companies across fintech, retail, and tech scaleups worldwide

And in the broader market? Autonoma was one of the first products listed on the agentic marketplace on Vercel. Today they have roughly 10x the installs of their nearest competitor. Over 5,000 installs and counting.

"There's a really high level of interest in actually validating that your application works," Tom says, with what sounds like well-earned satisfaction.

The bottom line

Autonoma is solving a problem that every software team deals with but few have cracked: how do you ship fast without sacrificing quality? The answer, it turns out, is AI agents that move at the speed of thought, powered by Groq's inference engine under the hood.

For engineering teams tired of the painful trade-off between speed and quality, Autonoma isn't just a testing tool. It's a competitive advantage.

And with Groq making the experience feel instant every step of the way, it's one that's hard to go back from.