The startup develops drone support software for efficient inspections of linear infrastructure, specifically targeting power line assessments. Their technology enables rapid and safe identification of issues, facilitating predictive maintenance strategies and significantly lowering operational costs for clients.
Funding
$820K 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
Inspecting linear infrastructure like power lines is traditionally costly, time-consuming, and potentially dangerous, often relying on manual inspections or helicopter patrols. This can lead to delayed identification of critical issues, impacting grid uptime and increasing operational expenses for utility companies.
Solution
Airpelago provides an end-to-end drone-based inspection service and flight automation software for Transmission System Operators (TSOs) and Distribution System Operators (DSOs) to improve the efficiency, safety, and sustainability of power line inspections. The company's autonomous drone technology enables rapid data acquisition and analysis, facilitating proactive maintenance and optimized resource allocation. Airpelago's software streamlines the inspection process, standardizes data collection, and provides actionable insights for prioritizing maintenance projects and maximizing grid uptime. By transitioning from traditional methods to drone-based inspections, utility companies can reduce carbon emissions and operational costs while improving the reliability of their infrastructure.
Target Audience
Airpelago primarily serves transmission and distribution system operators (TSOs and DSOs) responsible for maintaining power line infrastructure, as well as utility companies seeking to optimize their inspection processes and improve grid reliability.
Features
- Autonomous drone flight planning and execution for large-scale power line inspections
- High-resolution imagery and LiDAR data acquisition for detailed asset assessment
- AI-powered defect detection and classification for automated anomaly identification
- Cloud-based platform for data visualization, analysis, and reporting
- Customizable inspection workflows for various voltage levels and inspection types (annual, detailed, storm-induced)
- Integration with existing asset management systems for seamless data exchange
- Support for regulatory compliance and flight permit acquisition
- Sustainable inspection alternative with reduced carbon footprint compared to helicopter patrols