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.
Manual design and layout work in construction and architecture is slow, expensive, and explores only a tiny fraction of the possible design space. Generative design automates option generation and optimization, helping teams rapidly produce more efficient, lighter, cheaper, and more buildable designs while staying within constraints and codes.
Tight integration into CAD/BIM workflows, domain-specific constraint libraries (codes, materials, structural rules), and historical project data that improves optimization and makes switching costs high once embedded in a firm’s design process.
Early Adopters
Focus on construction and architecture-specific generative workflows (e.g., floorplans, structural systems, façade optimization) and deep coupling with existing CAD/BIM tools, rather than generic topology optimization or mechanical design alone.
Imagine every connected device on a construction site—cranes, sensors, cameras, worker wearables—has a constantly updating ‘credit score for security and safety’. This system uses AI to watch how each device behaves and automatically flags or fixes issues before they turn into regulatory violations, outages, or accidents.
Think of this as giving a construction project a smart brain that constantly watches schedules, costs, and concrete performance, then warns the team early when something will go wrong and suggests better options.
This is like giving building inspectors a super-smart assistant that pre-checks architectural plans against the rules, highlights likely issues, and prepares a review summary so humans only need to confirm and make judgment calls.