Scope Computer Vision Technologies utilizes AI-driven inspections to detect line damage and assess break strength with over 99% accuracy, significantly reducing the risk of equipment failures and accidents in utility operations. By providing real-time data on potential hazards, the platform enhances safety and operational efficiency for contractors and utility companies across North America.
Funding
$5.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Utility companies and contractors face significant risks and downtime due to undetected damage and wear in stringing lines, which can lead to equipment failures and accidents during operations. Traditional manual inspections are often slow, inconsistent, and prone to overlooking critical hazards.
Solution
Scope Computer Vision Technologies provides an AI-powered inspection platform that automates the detection of line damage and assesses break strength in real-time. The system uses computer vision to identify potential hazards with high accuracy, enabling operators to proactively address issues before they lead to failures. By providing instant, detailed reports on line health, Scope helps utility companies and contractors improve safety, reduce downtime, and optimize their maintenance processes. The platform facilitates intelligent asset management by consolidating data from various inspection points, offering a comprehensive view of line health across the entire fleet.
Target Audience
The primary customers are electric utility contractors, electric utilities (transmission & distribution), and OEM & rental fleets involved in utility stringing operations.
Features
- AI-driven image analysis for automated defect detection and break strength prediction
- Real-time hazard identification with over 99% accuracy
- Inspection speeds up to 5 mph, doubling the speed of traditional manual inspections
- Detailed reports highlighting hazard locations and severity
- Fleet-wide asset management dashboard for tracking line health and usage
- Continuously learning AI that improves accuracy over time