The next wave of AI will not be driven by larger general-purpose models alone. It will be verticalized, grounded in the physical world, and trained on reality-grade 3D data.

In this EUVC episode, host Andreas Munk Holm speaks with Michael Brehm (General Partner and Founder at Redstone), Ben Scheidt (Partner at Redstone) and Franz Tschimben (Co-Founder of ALLSIDES).

They explore why one-size-fits-all AI falls short in robotics, simulation, and other physical applications, and how ALLSIDES converts physical objects into relightable 3D digital twins in minutes.

ALLSIDES has worked with clients such as Meta, Amazon, Nike, adidas, Zalando, NUREG, GORE-TEX, La Sportiva, and Inditex Group brands including Zara, Massimo Dutti, and Bershka. It also has a deep integration with NVIDIA.

Key takeaways

As foundation models commoditize, defensibility shifts toward specialized data and infrastructure
Physical AI and world models require high-fidelity 3D data, not only internet-derived 2D content
Reality-grade digital twins at scale can unlock robotics, simulation, generative 3D, digital commerce, and AI content creation
Building global deep tech from Europe requires proximity to customers and demand in the US and Asia

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Franz Tschimben (ALLSIDES) & Michael Brehm & Ben Scheidt (Redstone): Why physical AI needs 3D data

EUVC

Franz Tschimben (ALLSIDES) & Michael Brehm & Ben Scheidt (Redstone): Why physical AI needs 3D data