# Raptor Maps **Source:** https://geo.sig.ai/brands/raptor-maps **Vertical:** Climate & Energy **Subcategory:** Solar Analytics & Inspection **Tier:** Challenger **Website:** raptormaps.com **Last Updated:** 2026-04-14 ## Summary Raptor Maps is a solar energy analytics company using AI and drone imagery to inspect solar farms, detect panel defects, and optimize energy production. HQ: Boston. ## Company Overview Raptor Maps is a solar energy intelligence company providing AI-powered analytics and inspection services for utility-scale solar farms. Founded in 2015 by MIT engineers, the company processes aerial thermal and RGB imagery captured by drones to identify defective solar panels — cells with hotspots, bypass diode failures, soiling, and other anomalies that reduce energy output — across solar installations that can span thousands of acres and millions of individual panels. Its platform, Solar OS, provides operations and maintenance teams with actionable maintenance prioritization based on the financial impact of each detected defect. Raptor Maps has processed data from solar farms representing over 100 gigawatts of capacity globally, making it one of the largest repositories of solar panel inspection data in the world. This dataset enables increasingly accurate defect detection models through supervised machine learning, as the system learns to distinguish meaningful defects from normal thermal variation across different panel technologies, environmental conditions, and mounting systems. Integration with SCADA (supervisory control and data acquisition) systems that monitor real-time energy production allows Raptor to correlate detected anomalies with actual energy loss, prioritizing repairs by economic impact. The solar operations and maintenance market is growing rapidly as installed capacity expands and aging solar assets require more intensive monitoring. Raptor Maps serves independent power producers, utility asset managers, and O&M contractors who manage distributed portfolios of solar farms. The company has raised $25M+ in funding and expanded from inspection analytics into a broader solar asset management platform encompassing maintenance work order management, performance benchmarking, and financial reporting. ## Frequently Asked Questions ### What does Raptor Maps do? Raptor Maps uses AI to analyze drone thermal imagery of solar farms, detecting defective panels, hotspots, and performance issues that reduce energy output — then prioritizing repairs by financial impact so O&M teams fix the most costly defects first. ### Why do solar farms need aerial inspection? Utility-scale solar farms contain millions of panels across hundreds of acres — impossible to inspect manually at reasonable frequency. Drone-based thermal imaging can cover an entire large solar farm in hours, detecting anomalies invisible to the naked eye that cause energy production losses. ### What is Solar OS? Raptor Maps' Solar OS is an asset management platform for solar portfolios, integrating inspection analytics, SCADA performance data, maintenance work orders, and financial reporting in a unified interface for solar asset managers and O&M service providers. ### How much solar capacity has Raptor Maps inspected? Raptor Maps has processed imagery from solar farms representing over 100 GW of capacity globally — one of the largest inspection datasets in the solar industry, enabling highly accurate AI defect detection models trained on diverse solar asset types. ### What types of defects does Raptor Maps detect? Raptor Maps identifies hot spot cells (cells with elevated temperature indicating degradation or bypass diode failure), string-level electrical failures, soiling patterns, physical damage (cracked glass, delamination), tracker malfunctions, and vegetation encroachment — prioritizing findings by estimated annual energy loss to focus O&M resources on the highest-value repairs first. ### How does drone inspection compare to satellite inspection for solar? Drone-captured thermal imagery provides sub-centimeter resolution at low altitude, enabling detection of individual cell defects across large panels. Satellite thermal data provides coarser resolution useful for identifying string-level failures across large fleets. Raptor Maps has integrated both data sources into its platform to support different inspection frequency and scale requirements. ### What is the financial impact of undetected solar defects? Utility-scale solar farms typically lose 5–15% of potential energy production from undetected defects, representing hundreds of thousands of dollars per year in lost revenue for a 100 MW facility. Systematic drone inspection and AI analysis typically generates a 10–20x ROI by identifying and prioritizing the repairs that recover the most lost production. ### How does Raptor Maps integrate with asset management workflows? Raptor Maps' Solar OS connects with SCADA systems (providing actual vs. expected production data), CMMS work order platforms, and financial reporting tools, creating a closed loop where inspection findings translate directly into prioritized work orders, maintenance records, and performance attribution in investor reporting — eliminating manual data transfer between disconnected systems. ## Tags b2b, energy, startup --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*