AI for Better Buildings
How AI helps create higher quality, more sustainable buildings.
Definition
AI for better buildings helps design and construct higher quality, more sustainable, and better performing buildings. AI improves design decisions, catches errors, ensures compliance, and optimizes performance. AI is enabling a new generation of better buildings.
In Depth
AI contributes to better buildings through better-informed design decisions, more thorough code compliance checking, fewer construction errors, and more efficient building operations. The improvement is measurable: fewer plan review comments, fewer RFIs during construction, fewer change orders, and better energy performance in operation.
The quality improvement comes from AI's ability to check things that time constraints prevent humans from checking manually. A code compliance review that checks every requirement against every drawing element finds issues that a time-limited manual review misses. A coordination check that compares all disciplines simultaneously catches conflicts that sequential reviews overlook.
Examples
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
AI for better buildings helps design and construct higher quality, more sustainable, and better performing buildings. AI improves design decisions, catches errors, ensures compliance, and optimizes performance. AI is enabling a new generation of better buildings.
Improving building energy performance. Ensuring code compliance. Catching design errors early.
Project Research: Instantly access all project-critical information from a single search interface. Automated Code Compliance: Check drawings against 380+ building codes and standards with cited answers.