Mentioned in 5 AI use cases across 3 industries
Imagine a super-detailed digital twin of an old timber building that can almost build itself: you feed it survey data and drawings, and an AI-driven system assembles a smart 3D model that knows what each beam and joint is, how it fits together, and how the building has changed over time.
Think of generative design as an AI-powered junior architect/engineer that, instead of drawing one design, generates hundreds or thousands of options that all meet your rules—like budget, materials, safety codes, and space limits—then shows you the best ones to choose from.
This is like having a super-fast junior architect who can instantly sketch dozens of early design ideas from a short brief, so you can pick the best ones and refine them instead of starting from a blank page.
Think of this as a smart co-pilot for buildings: it watches how your facilities are used, how equipment behaves, and what work orders come in, then suggests what to fix first, when to schedule maintenance, and how to run the building cheaper and smoother.
This is like a weather forecast, but for how much energy a building will use. It learns from past data about the building (design, materials, historical meter readings, weather) and then predicts future consumption so you can plan and optimize better.