Automated NYC Fire Code Cross Reference Code Checking via AI

Manual code checking is slow and prone to human error. With over 260+ PDFs and 10,000+ requirements in the municipal codes, architects face massive compliance audits. PermitIQ by Aureon automates this workflow, scanning your drawings against the official Fire Code Cross Reference guidelines in fire-code-cross-reference.pdf instantly.

How the PermitIQ AI Engine Works

PermitIQ's core technology utilizes an advanced Retrieval-Augmented Generation (RAG) architecture running locally on secure AWS EC2 servers:

• Vector Embeddings: We index 113 specialized NYC Building Code documents in Pinecone serverless vector databases.
• Local Encoding: Our server generates local embeddings using Xenova MiniLM models, ensuring 100% cost efficiency.
• Multimodal Processing: When you upload a drawing, the system performs OCR and vision extraction, feeding the layout directly into multi-model Google Gemini APIs.
• Grounding & Verification: The engine executes 15 targeted search vectors (checking egress, fire, accessibility, etc.), retrieves up to 40 unique code documents including fire-code-cross-reference.pdf, and verifies compliance.

Checking Fire Code Cross Reference Automatically

When auditing layouts for Fire Code Cross Reference, PermitIQ scans the drawings for specific rules like smoke alarms, carbon monoxide detectors, emergency exit signage, and sprinkler connections. The system rotates between gemini-2.5-pro and gemini-2.5-flash with an exponential backoff loop to guarantee results are delivered in under 60 seconds, displaying real-time updates through WebSockets.

Self-Healing JSON Compliance Reports

Our pipeline features a self-healing JSON parser. If the AI output cuts off, our code closes the string quotes, balances braces, and compiles a forensic PDF certificate. This contains an issues log, layout betterments, and direct code section citations.