From Address to Risk Score in Under 60 Seconds
Our AI Satellite Solar Inspection tool uses Google Solar API and GPT-4 Vision to identify degraded solar assets at scale — scan up to 500 properties per upload and push high-priority leads straight to your CRM.
What the AI Detects
Our AI analyses satellite imagery from Google Solar API alongside GPT-4 Vision to identify degradation markers invisible from street level — across every property type, from residential rooftops to utility-scale solar farms.
Panel Presence Confirmed
Solar installation verified via satellite imagery combined with Google Solar Building Insights API data.
- Panel count from Solar API
- Roof segments & orientation
- Annual sunshine hours
Discolouration & Peeling
GPT-4 Vision identifies visual degradation markers invisible from street level.
- Panel discolouration flagged
- Peeling edges detected
- 84%+ AI confidence scoring
Physical Damage
Cracks, warping, and mounting issues flagged automatically for human verification.
- Micro-crack detection
- Warping & structural issues
- Human verification queue
Installation Age Proxy
Solar API imagery date used to estimate system age and calculate degradation risk score.
- Age-weighted scoring (20 pts)
- 10+ year installs prioritised
- US 2000–2010 cohort flagged
Listing Signals
Property metadata scanned for keywords indicating replacement intent or ownership change.
- For sale / renovation signals
- Estate & property metadata
- 10-point keyword scoring
100-Point Lead Score
Every property receives a transparent weighted score combining all detection signals.
- 0–39 Low · 40–64 Medium
- 65–100 High → auto CRM push
- Full audit trail per scan
From Address to CRM in Under 60 Seconds
Every property scan follows a six-step automated pipeline — geocoding, satellite data retrieval, AI vision analysis, lead scoring, and CRM push — without any manual intervention.
Address Input
Single address or bulk CSV upload of up to 500 properties. Quoted fields with commas handled automatically.
Geocoding
Google Maps API converts each address to precise lat/lng coordinates and validates the property exists.
Google Solar API
Retrieves panel count, roof segments, annual sunshine hours, and estimated installation date from satellite data.
GPT-4 Vision
Analyses satellite imagery for panel discolouration, cracking, soiling, and physical damage with a confidence score.
Lead Scoring
Weighted 100-point risk model combines solar detection, installation age, roof condition, AI confidence, and listing signals.
CRM Push
Properties scoring 65 or above are automatically pushed to HubSpot or Salesforce as high-priority leads.
Smarter Inspections, Better Outcomes
Scale Instantly
Manual prospecting tops out at 10 leads per day via phone or door-knock. A single bulk CSV upload scans 500 properties in minutes — with full AI degradation analysis on each one.
Panels Degrade Invisibly
Discolouration, peeling, and micro-cracks are invisible from the street. Owners only discover problems after energy bills spike. GPT-4 Vision catches what no human prospector can.
Evidence-Based Decisions
Every scan produces a full audit trail — satellite imagery, AI analysis narrative, confidence scores, and reviewer decisions — so every recommendation is backed by evidence.
Geospatial Territory Planning
DBSCAN clustering groups nearby high-priority properties into sales territories. A rep covering one cluster visits multiple high-score properties in a single suburb run — zero wasted travel.
Start Scanning Smarter Today
Identify degraded solar assets at scale — before they become liabilities. Request access to the AI Satellite Solar Inspection tool or book a drone inspection for a targeted site assessment.