- Alex de Vigan is the Founder and CEO of Nfinite, having transitioned from a career in corporate law into entrepreneurship, driven by an interest in how AI can be applied to the physical world.
- He founded Nfinite to address a fundamental gap in AI training: the lack of high-quality 3D and visual data that enables machines to understand space, scale and real-world environments.
- Under his leadership, Nfinite has evolved from a retail and e-commerce visual technology company into a Physical AI data infrastructure business, supporting developments in robotics and simulation.
- Alex believes in building for the long term, prioritising fundamental problems over passing trends. His approach centres on conviction, clarity and creating durable technology that can underpin future innovation.

Tell Me About Yourself and Nfinite
I’m Alex de Vigan, Founder and CEO of Nfinite. I started my career as a corporate lawyer before becoming an entrepreneur, driven by how AI systems scale into the real world. Today, Nfinite operates on two closely connected tracks. At its core, Nfinite is a Physical AI data infrastructure company, generating high-fidelity, IP-safe 3D and visual datasets that train AI systems to understand space, scale, and physical environments, particularly for robotics and simulation, which is where my main focus sits today. In parallel, Nfinite applies this infrastructure to retail and e-commerce, where our technology powers product visuals and digital twins at scale.
What Inspired You To Start Nfinite, and What Problem Were You Trying To Solve?
The original idea came from a simple observation: AI systems interacting with the real world were being trained on flat, incomplete data. Even the smartest models struggle if they don’t understand space, scale, and physical constraints. I sketched the first concept for Nfinite.ai on the back of a napkin, convinced that data (not algorithms) would become the limiting factor for Physical AI. We set out to solve that by creating a scalable way to generate world-ready visual and 3D data, grounded in reality, that machines could actually learn from.
What Has Been Your Biggest Challenge So Far, and How Did You Overcome It?
Our biggest challenge was building infrastructure before the market fully understood why it mattered. A few months ago, “Physical AI” wasn’t a widely used term, and the need for structured 3D data wasn’t obvious to many customers. We overcame this by anchoring ourselves in real, near-term use cases (starting with retail) where the value was immediate and measurable. That allowed us to build technology, credibility, and partnerships long before the broader AI shift toward robotics and spatial intelligence became mainstream.
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Can You Describe a Pivotal Moment That Significantly Shaped the Direction of Nfinite?
A pivotal moment came when leading AI developers began approaching us not for 3D datasets, but for training data. That’s when it became clear Nfinite wasn’t just a creative or retail technology company; we were becoming part of the AI infrastructure stack. It reshaped how we thought about the business: less about individual applications, more about building a foundational layer that others could build on. That shift influenced everything from our product roadmap to how we hire and partner today.
How Do You Define Success?
For your business: Success means becoming invisible infrastructure: trusted, essential, and relied on by teams building Physical AI, even if end users never hear our name. If robots, simulations, and Physical AI systems work better because of our data, we’ve done our job.
As a founder: For me, success is building something durable: technology and a company that outlasts trends, while doing it with intellectual honesty, long-term thinking, and respect for the people building it alongside me.
What Advice Would You Give To Someone Thinking About Launching Their Own Startup?
Start with a real constraint, not a trend. Many startups chase what’s fashionable; fewer focus on what’s fundamentally broken or missing. If you’re working on infrastructure, be patient. It takes longer, but it compounds. Also, don’t underestimate how much clarity matters: explaining why your work matters is often harder than building the technology itself, especially early on.
What’s Next for Nfinite? Any Exciting Developments We Should Watch Out For?
We’re entering a phase where partnerships matter as much as product. We’re working closely with some of the world’s leading brands, retailers, and AI developers to deploy Physical AI infrastructure at real scale. These collaborations are shaping how our technology is used, particularly in robotics and simulation. In parallel, we’re continuing to strengthen our balance sheet to invest further in data quality, tooling, and talent, so we can support this next wave responsibly. The goal isn’t growth for its own sake, but to help advance the field by making world-ready data genuinely accessible to those building the future.

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Founder’s 5 with Alex De Vigan
We wanted to know a bit more about the man behind Nfinite, so we’ve put together the exclusive Founders’ 5 with Alex De Vigan.
Favourite business tool
Honestly, WhatsApp is still the tool I use the most. It’s where decisions happen fastest. That said, I’m intentionally shifting in 2026 toward more structured, long-term tools. Notion has become central for documentation, internal alignment, and turning ideas into repeatable systems. The combination matters: fast communication to move quickly, and strong documentation to make sure speed doesn’t turn into chaos.
One lesson you learned the hard way?
Building infrastructure means being early and misunderstood. You need conviction before validation.
One future trend you’re watching?
The shift from language-centric AI to systems that operate in space: robotics, simulation, and embodied intelligence.
One quote you live by
“Simple is hard.” Because clarity usually comes last, not first.
One book/podcast you recommend
“The Beginning of Infinity” by David Deutsch: it fundamentally shaped how I think about progress and problem-solving.
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