XR AI Spotlight

Tam McDonald, founder and CEO of Cradle of English, discusses how XR, 3D scanning and AI can help preserve cultural heritage without reducing history to attractive but empty digital content. Using the 3D reconstruction of the Great Hall at London’s Guildhall as a case study, Tam explains why meaningful preservation requires more than capturing a building. We discuss how to handle controversial figures and difficult histories, why museums and institutions are still lagging, and how European networks can support and accelerate digitalization projects for cultural heritage.
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VR experiences often stop working as headsets, drivers, and software change. Avinash Changa, founder of We Make VR, is developing IMPRES, a cartridge-based system for preserving and exhibiting immersive works. In this episode, he demonstrates a restored VR experience and explains the technical limits, costs, and institutional support needed to keep these projects accessible beyond their festival run.
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Wendelin Reich, founder and CEO of Virtual Beings, has spent more than a decade studying how to make digital characters feel alive. In this episode, he explains the basic principles to make an AI character feel real,  what the major problems are with traditional behaviour trees and what it took for Forever Pets to climb the Meta Quest store and become the top-rated pet game on Quest. The conversation also explores multiplayer, mixed reality, Android XR, and the future of an experience and IP with plenty of opportunities to scale.
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Horacio Torrendell, founder and CEO of enterprise XR studio Treeview, joins today to examine where spatial computing stands after a decade of changing hardware, platforms, and expectations. Horacio explains which enterprise applications are gaining traction, how Treeview survived the industry’s ups and (many) downs, his experience with Gaussian Splatting workflows for Quest,  and the future of “”Immersive” after HoloLens, Apple Vision Pro’s enterprise position, and why Treeview is doubling down on smart glasses.
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Shadnam Khan, co-founder and CEO of Multiset AI, explains how visual positioning gives physical spaces a coordinate system that phones, headsets, drones, and robots can understand.Shad breaks down: the real trade-off between each capture format and why most maps fail on the capture plan rather than the scanner, why a better-looking map does not localize better, how one walk produces both a splat a human reads and a map a machine localizes against, and where visual positioning genuinely does not work.
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