AI Find Sites Real Estate Solution
AI-Driven Commercial Real Estate Site Discovery - Automating hours of manual research into minutes of intelligent analysis
Industry
Real Estate
Timeline
1 Month
Engineers
3
Pipeline Nodes
11
Commercial Real Estate Site Discovery Pain Points
Traditional site research methods are inefficient, error-prone, and lack the automation that modern commercial real estate professionals need.
01
Time-Intensive Research
Analysts spend 6-8 hours per day manually searching across LoopNet, CBRE, JLL, and local broker websites with no integration or automation
02
Fragmented & Incomplete Data
Property information scattered across 5+ sources with missing contact details, broker information, and geographic data that requires manual consolidation
03
No Verification Standards
Addresses, square footage, property attributes, and contact details lack systematic verification, leading to 30%+ data inaccuracy rates
04
Missed Opportunities
Manual processes create response delays, duplicate efforts, and significant property discovery gaps that competitors find through automation
What It Costs to Leave It
These challenges compound daily: analysts spend 6-8 hours per property discovery, data accuracy drops to 70%, and critical opportunities are missed entirely. The result is slower deal cycles, higher operational costs, and competitive disadvantage. Automation is no longer optional—it's essential.
AI-Powered Workflow
An intelligent sequential pipeline that automates commercial real estate research from initial discovery through final qualification.
STEP 1
Automated Deep Research
AI searches across LoopNet, CBRE, JLL, Brixmor, and local broker websites automatically, discovering properties that match your criteria.
STEP 2
Structured Data Extraction
Intelligently extracts property details, broker contacts (name, title, email, phone), and rental information from research findings.
STEP 3
Geolocation Verification
Verifies address accuracy using Google Geocoding API and enriches data with GPS coordinates and CBSA information.
STEP 4
Computer Vision Analysis
Analyzes aerial and street-view imagery to verify property attributes like square footage, asset type, and premises classification.
What the System Is Made Of
11
Pipeline Nodes
Sequential workflow with specialized processing at each stage
∞
Scalability
Extensible architecture supporting new data sources
100%
Data Quality
Multi-stage QA with verification and validation
Intelligent Pipeline Architecture
Every node in the flow, in the order the data moves through it
Every Stage the Request Passes Through
Point at a node to read its stage number and the id it carries in the code. Branches rejoin where the data does.
Nodes
11
Stages
9
Key Features
A comprehensive suite of AI-powered tools to automate commercial real estate site discovery and qualification.
01
Deep Research Automation
Searches across LoopNet, CBRE, JLL, Brixmor, and local broker websites automatically, discovering properties missed by manual searching.
02
Comprehensive Contact Data
Extracts complete broker information including name, title, company, direct email, and phone numbers for immediate outreach.
03
Geolocation Verification
Validates addresses and enriches with GPS coordinates, CBSA codes, and metropolitan area data for accurate location intelligence.
04
Computer Vision Analysis
Analyzes aerial and street view imagery to verify property attributes, square footage, and premises classification.
05
Multi-Stage Quality Assurance
User-configurable qualification criteria with data legitimacy, recency, and criteria matching for transparent decision making.
06
Real-Time Monitoring
Google Sheets integration logs all workflow executions for tracking, debugging, and maintaining an audit trail.
Technology Stack
Enterprise-grade technologies powering scalable, intelligent multi-agent systems.
Backend
FastAPI
Python
Database
Google Sheets
AI Framework
CrewAI
LangChain
LLM
OpenAI GPT-4o
OpenAI GPT-5.2
Gemini Vision API
Sequential Pipeline Architecture
11-node data enrichment pipeline processing sites through multiple AI-powered stages for comprehensive analysis.
Multi-Source Integration
Integrates Google APIs, AI research, computer vision, and geocoding services into unified workflow.
Real-Time Monitoring & Logging
Google Sheets integration for workflow monitoring, execution tracking, and audit trails.
Tell Us What Isn't Working Yet
Send the shape of the problem, the data you have and what a good outcome would look like. We will reply with an honest read on whether it is worth building — including when it is not.