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Why Digital Twins Need an Intelligence Layer
Description
Michael Jansen and Dr. Prasanta Bose join Evan Troxel and Randall Stevens to talk about what it takes to put an intelligence layer on top of a digital twin. Bose traces the idea back through reinforcement learning, Lockheed Martin satellites, and Starbucks before explaining why a real twin needs both a sensing layer and a cognitive one. They get specific about the decisions behind TwinMaster: refusing to build another design authoring tool and instead embedding their Arch-e copilot inside Revit, Archicad, and MicroStation; building a semantic, systems-oriented model so the AI can reason about a wall as more than two planes; and tuning existing models with context rather than training their own.
This episode is especially relevant for design technologists, BIM leads, and AEC software teams weighing how AI actually fits into established tools instead of replacing them. Jansen makes the case that architects, who create the original twin, could sell and maintain it as an ongoing service and move past one-time fixed fees. You will come away rethinking where the value sits after the drawings are done.
Episode Links:
Connect with the guests
- Dr. Prasanta Bose, CEO and co-founder — LinkedIn
- Michael Jansen, Chief Business Officer and co-founder — LinkedIn
TwinMaster
- Website and company LinkedIn
- Arch-e joins the Bentley Ecosystem
- TwinMaster: ChatGPT for Architects, in 3D (AEC Business)
Tools and ecosystems mentioned
- Autodesk (Revit, AutoCAD), Bentley (MicroStation, iTwin), Graphisoft Archicad, Trimble (SketchUp, Connect), McNeel Rhino, Nemetschek, Chaos
People and ideas referenced
- Andrew Barto and Richard Sutton, 2024 Turing Award, Santa Fe Institute, Falkonry, Cityzenith, Gaussian splatting, regenerative design
Watch this episode on YouTube.
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The Confluence podcast is a collaboration between TRXL and AVAIL, and is produced by TRXL Media