Solar AI Roof Analysis System
From satellite imagery to signed proposal — in under 60 seconds.
Solar AI Roof Analysis System is an analytical infrastructure platform that enables solar installers, EPCs, and energy consultants to generate accurate project feasibility reports using remote sensing data. The system ingests high-resolution satellite imagery, LiDAR elevation models where available, and utility rate data to compute usable roof surface area, shading loss by season, optimal panel placement, system sizing, projected annual generation, and financial returns including payback period, IRR, and NPV. Outputs are formatted as client-ready proposals with branded PDF generation and CRM push capability. The platform is not a consumer-facing estimator — it is production infrastructure for solar businesses that need to scale their pre-sales analysis capacity without proportional headcount growth.
Deployment Window
2-6 Weeks
ROI Window
3-8 Months
Ideal Company Size
10-500 Employees
Analysis Time Per Property
Under 60 seconds
Roof Detection Accuracy
±3% usable area
Shading Model Resolution
Hourly, 8,760 hrs/year
Financial Model Variables
40+ configurable inputs
Proposal Output Formats
PDF, CRM push, JSON API
Operational Infrastructure Flow
Business Outcomes
AI Solar Feasibility Infrastructure
Satellite imagery analysis, sunlight modeling, financial forecasting, and qualification workflows combined into a fully automated operational system for solar companies.
Analysis Region
Auburn, Alabama, USA
Roof Suitability
87%
Annual Savings
$2,840
Panels Required
28
System Size
11.2kW
Payback Period
7.2 yrs
CO₂ Reduction
8.4 tons
Core Operational Modules
Satellite & LiDAR Data Ingestion
Roof Geometry Detection
Shading Analysis Engine
Panel Layout Optimizer
Energy Production Modeling
Financial Return Calculator
Proposal Generation & Branding
CRM & Lead Management Integration
Utility Rate Database
Project Pipeline Dashboard
Enterprise Implementation Workflow
Watch The System In Action
Enterprise Feature Stack
AI Roof Geometry Detection
Computer vision models identify roof planes, ridgelines, valleys, dormers, and obstructions from satellite imagery. Usable surface area is computed per plane with pitch and azimuth estimates for production modeling.
Seasonal Shading Analysis
The system calculates shade cast by trees, chimneys, neighboring structures, and roof features across 8,760 hours of the year using sun path calculations and 3D obstruction modeling.
Panel Layout Optimizer
Given roof geometry and shading data, the optimizer places panels to maximize annual energy production within setback constraints and structural load assumptions.
Financial Return Modeling
Calculates net cost, payback period, 25-year NPV, IRR, and monthly savings using current utility rates, applicable incentives (ITC, SREC, net metering), and panel degradation curves.
Automated Proposal Generation
Every analysis outputs a branded PDF proposal including system specs, production estimates, financial projections, and environmental impact data — ready to send to the customer without manual assembly.
CRM and Pipeline Integration
Analysis results push directly to connected CRM systems. Lead status, proposal version, and follow-up tasks are created automatically, reducing manual data entry across sales and operations teams.
Frequently Asked Questions
How accurate is the roof analysis compared to a physical site assessment?
For standard residential and light commercial roofs, the remote analysis produces system sizing within 5-8% of a physical assessment. For complex roofs or properties with significant tree coverage, a site verification is recommended before final engineering.
What data sources does the system use for satellite imagery?
The platform integrates with high-resolution imagery providers with coverage across North America, Western Europe, and Australia. LiDAR data is incorporated where available through public and licensed datasets.
Can the financial model account for regional incentives and utility rate structures?
Yes. The utility rate database includes tiered rates, time-of-use structures, net metering policies, and demand charges for major utilities. State and federal incentives including the ITC are applied automatically based on project location.
Is this suitable for commercial rooftop projects or only residential?
The system handles both. Commercial analysis includes demand charge reduction modeling, C&I utility rate structures, and multi-structure campus analysis for larger projects.
How do we brand the generated proposals?
Proposal templates accept company logo, color scheme, contact information, and custom sections. Multiple branded templates can be created for different markets or sales channels.
Infrastructure Deployment
Implement Solar AI Roof Analysis System
Schedule a technical consultation to evaluate deployment requirements, operational fit, integrations, and execution strategy for your organization.
Solar AI Roof Analysis System
Enterprise infrastructure deployment