Europe's Physical AI playbook with Dr.-Ing. Máté Péntek (TUM)

Following the FOV Vantage Point Robotics summit, we sat down with one of our fireside speakers to unpack the European Physical AI thesis. Below is the conversation, lightly edited for clarity.

Dr.-Ing. Máté Péntek is the Director of the Built Environment focus area at the TUM Venture Labs, where he eagerly supports research and technology transfer from academia to the market through the entrepreneurial endeavour of startups. His background encompasses research on applied supercomputing to structural and civil engineering, consulting, and startup involvement.

TUM Venture Labs have established themselves as a premier European deep-tech hub, supporting over 1,100 start-up teams in 2024 alone and contributing to a record 103 spin-offs. Ranked #1 in Europe for three consecutive years (2024-2026), they foster major successes, including the unicorn Isar Aerospace (reaching unicorn status in 2025) and numerous AI and health-tech ventures.

Q1. Why is the built environment the right reality anchor for Physical AI?

Physical AI becomes most meaningful when it leaves the lab and enters complex, constrained, high-value environments. Construction sites, existing building stock, infrastructure networks, logistics hubs, tunnels, industrial assets, and cities are exactly that.

From this perspective, Europe's robotics opportunity may be less about general-purpose humanoids and more about task-specific systems: inspection robots, maintenance drones, retrofitted machinery, teleoperation, assisted surveying, concrete spraying, painting, demolition, and infrastructure monitoring.

The built environment forces the question: can Physical AI work under real-world constraints?

Q2. Where does Europe actually have a credible advantage, and what does it look like in practice?

This is where Europe has a credible edge. We have world-class technical universities, deep industrial relationships, precision engineering capabilities, dense infrastructure, demanding customers, and a strong need to retrofit, reuse, and upgrade existing assets.

Munich and TUM are one example of this advantage in action: robotics and AI research, venture-building infrastructure through TUM Venture Labs and UnternehmerTUM, strong industrial proximity, and a startup ecosystem increasingly focused on deeptech translation.

Alongside the frontier technology narrative, this matters because Europe's Physical AI thesis is strongest when it is tied to real industrial demand.

Q3. How do sovereignty and dual-use change the strategic picture?

The third layer is strategic. Robotics, autonomy, sensing, AI infrastructure, cyber-physical systems, and dual-use technologies are becoming central to sovereignty, resilience, and infrastructure security. What used to be niche research is now part of Europe's strategic capability stack.

That creates a moat: not just technical IP, but ecosystems that can connect research, founders, industrial customers, public mandates, and capital.

Q4. So what is your verdict on moving Europe from research to revenue, and why do convenings like Vantage Point matter?

Europe does not lack technical depth. It lacks enough speed, connectivity, and scale in turning that depth into category-defining companies. This has been acknowledged by many, repeated by even more. So the priority now is clear: move faster from research to revenue, from pilots to production, and from ecosystem potential to venture-scale outcomes.

That requires early-stage support for technical founders, more ambitious industrial pilots, capital that understands deeptech timelines, and stronger European collaboration across universities, startups, corporates, investors, and public actors.

My takeaway: Europe has the ingredients to shape Physical AI. The question is whether we can connect and scale them quickly enough.

That is why convenings like Vantage Point matter. They aim to turn a fragmented European discourse into a shared ecosystem and investment thesis.

You can find a recap of FOV Ventures's Vantage Point: Robotics Edition 2026 here.