Ken Rhee on Turning BIM Data Into a Living, Breathing Digital Twin

🎯 The Green Impact Report Quick take: Only 3% of people on a building project can actually open a BIM file — Ken Rhee is fixing that, and using AI and sensors to turn "as-built" data into real-time building intelligence that pays off in energy, insurance, and asset value. 🤩 Meet Your Fellow Sustainability Champion Ken Rhee Joined VIM Build in Atlanta, GA as President at the beginning of January, 2026. Co-founded Integral VIM, a BIM consulting company based in Shanghai in 2021, together with Arol Wolford ; currently developing VXBOS, a VIM-based 3D building operating software. Based in Shanghai, worked at Morgan Stanley as VP and later Executive Director in its real estate banking and investment departments (2006-2012). Conducted M&A advisory work at JP Morgan in Hong Kong and Singapore (1998-2003) Between 2012 and 2024, served as Founding Executive Director for Urban Land. Institute (ULI) China Mainland and has authored or edited a number of ULI publications, and has led a series of ULI Advisory Services Panels in China and South Korea. Holds an MBA from University of Chicago Booth School of Business (1998) and a BA in Econ/Business at UCLA. Born and raised in Korea until the age of 14 and immigrated to the US and settled in southern California 🌱 Breaking Ground on Better Building In this episode, Ken Rhee revolutionizes how project teams actually use their building data: 💚 Key Insight #1: Democratizing BIM Access The Challenge: BIM models are so large and fragmented — sometimes 100+ Revit files for one complex building — that even developers rarely get to see them. Historically, only a small fraction of people on a project can actually open a BIM file. The Solution: VIM Build federates Revit, IFC, and Navisworks files into a lightweight format anyone can open on a laptop, no Revit or VIM subscription required, with clickable materials that surface real bill-of-materials data. ROI: Entire project teams — architects, contractors, developers, even facility managers down the road — can finally see and use the same building data instead of relying on static exports. 💚 Key Insight #2: AI-Powered Predictive Maintenance The Challenge: Building teams typically know what is installed (like 20 different light bulb SKUs across a tower) but not how to plan around it — replacement schedules are guesswork, and maintenance crews waste time locating parts. The Solution: Layering AI on top of federated BIM data lets teams isolate any component by SKU, locate it instan