XR AI Spotlight

Andrey Shelomentsev is the co-founder of Splatica, a London-based physical AI infrastructure startup building consumer-grade 3D reality capture pipelines. In this episode, we get into the real trade-offs between capture tools, how Splatica's one-click cloud pipeline turns a casual walk-around with an Insta360 into a navigable 3D Gaussian Splat scene overnight and what we need to turn photorealistic Gaussian Splats into a synthetic training ground for robots.
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In this episode, Ruben Frosali, founder of TRIDOT and Head of Cinematics at JADU AR, unpacks how he builds interactive Gaussian Splat experiences across Unity, AI generation tools, and mobile AR. Drawing on two decades of work across film, music videos, volumetric capture, shaders, and real time graphics, Ruben explains how 3DGS can be used in production workflows. He also shares how tools like World Labs and Sharp change the speed and flexibility of 3D world creation, where web workflows may outpace closed engines, and why optimization for phones matters as much as file compression.
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Fernando Rivas-Manzaneque is the CEO and co-founder of Volinga AI, a spin-off born from early research into 3D Gaussian Splatting for professional film and virtual production. In this episode, Fernando walks through what Volinga actually does: from its Unreal Engine plugin, which brings relighting, depth of field, reflections, and proxy mesh-based materials to Gaussian Splats, to the newly released Volinga Suite, a full end-to-end pipeline built on top of LightField Studio with HDR and ACES support for Hollywood-grade workflows. We cover real production use cases, including a digital replica of Auschwitz-Birkenau and a Paramount+ TV show that replaced a dangerous location shoot with a VP set. Fernando also breaks down the difference between additive and mesh-based lighting, the EnVol file format, and where 4D Gaussian Splatting and generative splat creation are heading in 2026.
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Explore the latest in 3D Generative AI tools, workflows, and industry implications with Gabriele, Stefan, and Philipp. Discover top models, segmentation techniques, Gaussian splatting, and future trends shaping 3D AI.
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⁠🔗 ⁠⁠⁠⁠⁠Stefan YouTube:⁠⁠⁠  @stefan_ai_3d  ⁠🔗 ⁠⁠⁠⁠⁠Philipp YouTube:  @PixelArtistry_   
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In this episode, Christian Stein, co-founder and CEO of Threedy GmbH, explains why CAD data remains so difficult to use outside engineering, even inside companies like Mercedes-Benz and BMW. Spun out of the Fraunhofer Institute for Computer Graphics Research, Threedy has spent years helping enterprise teams make massive industrial 3D data usable across web, tablets, and XR. He also shares where headset deployments still struggle, why tablets remain more practical in many enterprise settings, and how AI could become the orchestration layer that connects 3D data and business systems across industrial workflows.
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