FTL Labs’ FRAMER (Fast Reconstruction of Architectural Models from Existing Resources) combines specially trained neural networks with advanced 3D processing algorithms and intelligent data exports to enable high quality building model generation from both blueprints and photographs. In addition, it features parameter exports for accurate transport and dispersion simulation in the reconstructed virtual buildings. FRAMER’s generated 3D models will optionally be segmented and include objects labeled using state of the art neural network research, bringing a richer experience to virtual and augmented reality applications. FTL is collaborating with developers at NIST (the National Institute of Standards and Technology) and UMass professor Evangelos Kalogerakis, Ph.D. to develop this exciting technology.