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Real Estate verified Verified Outcome TRL 9

Remote Solar Design & Sales

domain Client: Solar Installers handshake Provider: Aurora Solar schedule Deploy: 2015-Present
95 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: Very High

Executive Summary

ANALYST: COI RESEARCH

Use of Lidar and computer vision to model roof dimensions, shade, and irradiance remotely with sub-inch accuracy, allowing solar systems to be sold and permitted without a site visit.

rate_review Analyst Verdict

"The catalyst for the solar sales boom. Before Aurora, 'truck rolls' to measure roofs were a hard cost that killed margins. The ability to generate a bankable, accurate design in 15 minutes remotely allows for instant sales closing."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Selling rooftop solar required an expensive truck roll to manually measure the roof and check for shade (trees/chimneys). Errors in measurement led to 'change orders' on installation day (e.g., panels didn't fit), frustrating customers and eating profits.

psychology The Solution

Developed a design engine that ingests aerial imagery and Lidar data. It constructs a 3D model of the home and its surroundings. It calculates the sun's path to simulate shadows for every hour of the year. The system automatically fits panels to the roof face, ensuring fire setbacks and electrical stringing are code-compliant.

settings_suggest Technical & Deployment Specs

Integrations
CRM (Salesforce)
Deployment Model
SaaS
Data Classification
Geospatial
Estimated TCO / ROI
Per Project Fee
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Image Age Medium Nearmap integration.
Tree Growth Low Growth modeling settings.

trending_up Impact Trajectory

Audited value realization curve

99% reduction in post-sale change orders Verified Outcome
Primary KPIMeasurements accurate to within 6 inches
Audit CycleDesign time reduced to <15 minutes

policy Compliance & Gov

  • Standards: NEC / Fire Codes
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Geospatial

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Solar Installers without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-667
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-667

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