Code Compliance Checking

Automate building code compliance checking using AI for faster, accurate approvals and design validation

Business impact

• Operational Efficiency — Automating checks reduces manual workload and accelerates compliance processes
• Compliance Rate — AI improves accuracy and consistency in meeting building code requirements
• Time to Approval — Faster automated reviews shorten the permitting and approval cycle times
• Error Rate — AI reduces human errors in blueprint analysis and code interpretation
• Cost Reduction — Lower labor and rework costs through automated compliance verification
• Design Speed — Generative AI accelerates early-stage design with compliant schematic options
• Risk Reduction — Predictive compliance reduces investment and regulatory risks in projects

Data requirements

• Building blueprints and plans (Image) — Primary input for AI to analyze structural and spatial compliance
• Building codes and regulations (Text) — Reference documents for compliance rules and standards
• BIM models (Structured) — Structured 3D building data for automated rule checking
• Geospatial and zoning data (Numeric) — Contextual site constraints and legal boundaries for compliance
• User queries and feedback (Text) — Interactive inputs to guide AI compliance checks and explanations

AI methods and techniques

• Generative AI — Generate compliant design alternatives and redesigns for non-compliant areas
• Predictive AI — Forecast compliance risks and approval likelihood based on data patterns
• Symbolic AI — Encode explicit building codes and rules for logical compliance verification

AI models and model families

GPT-4o, LLaMA 3, Diffusion Models, Custom Knowledge-based Algorithms

Industries

Real-world evidence

7 documented case studies on record.

Companies using this: Archistar, Arkdesign AI, Finch D, Hypar, Loughborough University, Pacific Northwest National Laboratory, Swapp.