DevelopIQ is an AI-powered tool for real estate developers to instantly surface zoning and development constraints — starting with automated site investigation reports.
We help developers, brokers, and land teams stop wasting hours on PDF scavenger hunts and city planner calls.
What’s working today — and where it delivers value.
Given an address or parcel ID, we fetch and aggregate:
- Parcel metadata (location, size, owner, use class)
- Market-level data (job trends, housing supply, demographics)
🔍 Data sourced from public APIs and government databases.
This is our LangGraph-powered agentic system, focused on zoning feasibility.
-
🗂️ Extractor Agent
- Finds and retrieves the appropriate municipal codebook (HTML or PDF)
- Chunks and indexes it for semantic search
-
🔍 Querier Agent
- Asks predefined development questions:
- What are the permitted uses for this site?
- What are the setbacks and height limits?
- What is the rezoning process?
- Are there historical overlays or design commissions?
- Returns answers (with source citations) based on zoning code
- Asks predefined development questions:
🚨 This is not a chatbot. It’s a deterministic pipeline focused on structured zoning answers.
/frontend ← Next.js (React, Tailwind) app for UI
/codebook_agent ← LangGraph backend (agents + codebook parsing logic)
/util_python_lib ← Utility scripts (data ingestion, API pipelines, needs cleanup)
- Hosted on LangGraph Platform
- Data currently flows one-way from static sources
- No user-upload support yet (coming)
cd frontend
npm install
cp .env.example .env.local
npm run devFrontend runs on http://localhost:3000
Use Langsmith or LangGraph local dev mode.
langgraph dev- ❌ No AI-generated proformas or valuations (yet)
- ❌ No user-uploaded documents (yet)
- ❌ No live code conflict detection (yet)
This is MVP 0.1 — validating structured site investigation automation.
- Integrate parcel lookup with zoning agent output
- Add surface-level red flag detection (e.g. “requires rezoning”, “2-year entitlement”)
- Merge historical overlays and flood/topo layers
- Create downloadable SIR (PDF or markdown)
- Kush Bhuwalka (
rhit-bhuwalk) - Logan McLaughlin
- Evan Brooks
MIT License