Automated NYC 2025nycecc R6 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 2025nycecc R6 guidelines in 2025nycecc_r6.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 2025nycecc_r6.pdf, and verifies compliance.

Checking 2025nycecc R6 Automatically

When auditing layouts for 2025nycecc R6, PermitIQ scans the drawings for specific rules like envelope thermal insulation, U-factors, lighting power densities, and mechanical system controls. 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.