We are excited to announce our $250,000 pre-seed investment in Bugster, who are building AI Powered End-to-End Testing & QA Automation for Enterprise.

Bugster saw early on that the QA (Quality Assurance)needs of large scale enterprises and SMB's would be in need of agile and robust solutions to help power them forward. We see a market gap that requires deep domain expertise to innovate, this market gap is where we feel Bugster will be a leader.

"We think AI agentic workflows will replace traditional  workflows inside enterprises with QA automation and bug tracking ripe for disruption. We're thrilled to be backing Ignacio and Facundo because they're solving a problem they've lived and have the domain insight and drive to build the specialised tooling engineers actually need.” said James Alexander, co-founder and Partner at Galileo Ventures.

Starting with inner drive and an innate inner desire to improve something

Ignacio Solorzano (CTO) and Facundo López (CEO) are longtime friends from Córdoba, Argentina—Facundo, who has led QA at streaming platforms and fintech companies, and Ignacio, was an AI engineer with a deep track record in startups. They had deep knowledge of what needed to be improved and both had felt the pain of broken testing systems: brittle tests, constant firefighting, and too much time fixing rather than shipping.

This kind of deep domain expertise is what we look for in founders that we back at Galileo. Knowing the ins and outs of an industry is that extra Vitamin B that makes the difference when building a product that users will actually want to use.

They started Bugster with the desire to build what would have helped them, what would have enables the enterprises they worked for to be more successful. Developers of today are shipping faster than ever—many without QA teams. But even the biggest teams are seeing tricky, unwanted bugs slip into production.

Ignacio and Facundo believed testing should work with developers, not against them. That means shifting from static, scripted tests to an AI agent that understands your product, tracks real user journeys, and adapts tests when the UI changes—just like a QA tester would.

Their greatest desire is to create a future where testing is no longer a bottleneck, but a boost.

The long lasting impact they want to create beyond today

For Bugster they are building an intelligent QA agent that becomes part of the dev cycle—not just a test runner, but a co-pilot that understands your product’s behavior.

Bugster watches how users interact with the app, recreates those journeys automatically, and adapts when the UI shifts—alerting you when changes are big enough to warrant feedback. This kind of AI-assisted testing mimics how real QA testers think, but at the speed and scale of code.

Their lasting desire: that test coverage should grow and evolve with your product—without growing your team.

Market dictates all: how they'll impact the greater market

Bugster is making robust testing accessible to any dev team—especially the growing wave of engineers shipping solo or inside fast-paced teams, where traditional QA doesn’t fit.

With people are shipping software than ever before—the Vibe Coding culture is real—regressions are showing up in production faster, even inside the best companies.

Bugster directly right into that workflow. It’s always on, catching breakages, adapting to product changes, and surfacing issues before your users do. The impact? Less fire-fighting, fewer surprises in prod, and more confidence with every deploy—whether you’re a solo dev or scaling a team.

Where it's all going

AI dev tools are shifting us into a new era of creative velocity. Developers are no longer just writing code—they’re orchestrating intelligent systems that help build, test, and debug alongside them.

Bugster is part of that shift. They're turning QA into an intelligent agent that recreates user journeys and spots breakages without constant human input. It's a layer of smart automation that thinks like a teammate.

As AI tools continue to evolve, dev teams will spend less time writing boilerplate and more time designing experiences. Testing will feel less like a chore, and more like a conversation with a smart assistant that’s always up to speed.

The future is one where software ships faster, safer, and with fewer bugs.

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