CRE Intelligence Platform
NYC Agentic Underwriter & Feasibility
Autonomous commercial real estate underwriting platform mapping NYC comparable sales and zoning limits, dropping feasibility report latency to ~4 seconds.
Context
The CRE Intelligence Platform is an autonomous, source-cited commercial real estate underwriting and feasibility tool for NYC brokers and developers. It instantly resolves properties, queries live public tax registries, evaluates zoning limits, maps comparable sales, and underwrites development scenarios.
The problem
Evaluating commercial real estate feasibility in NYC typically requires manually pulling data from multiple disparate sources (PLUTO, ACRIS, Zoning Resolution) and running offline spreadsheet calculations. The challenge was to create a unified platform that automates this workflow, providing instant, accurate, and visual underwriting with real-time agentic insights.
How I built it
Implemented a speed-optimized parallel pipeline resolving addresses via DCP GeoSearch, fetching DoITT PLUTO lots, and querying ACRIS Deed Sales via asyncio
Integrated a Zoning RAG vector database to retrieve district explanations
Developed a 3D buildable massing visualizer using pure CSS 3D transforms (zero WebGL overhead)
Built an interactive pro forma calculator for both rental residential and condo sellout scenarios
Created a comparable sales heatmap overlay using Leaflet and an 'Ask the Agent' chat drawer powered by Claude Sonnet
Why these choices
Speed-Optimized Parallel Pipeline
Using asyncio.gather to fetch PLUTO and ACRIS data in parallel drastically reduces wait times, enabling single-turn Claude evaluations and dropping report latency to ~4 seconds, avoiding Vercel serverless timeouts.
Pure CSS 3D Massing Visualizer
Leveraging CSS 3D transforms for lot massing eliminates the need for heavy WebGL libraries, ensuring the application remains lightweight, fast, and responsive across devices.
Single-turn Claude Analysis
Feeding compiled records and zoning context to Claude in a single turn provides rapid feasibility synthesis, avoiding multi-step agent latency while keeping CRE insights concise and direct.