Raptor Maps Deepens Role in Data-Driven Solar Asset Management and Automation

Raptor Maps, a solar asset management and analytics platform, featured prominently in industry discussions this week as it expanded its focus on data-driven performance optimization and automation. The company underscored rising risks from inverter failures and tracker malfunctions, positioning its technology as a tool to reduce power losses and improve solar asset reliability.

New data highlighted from the 2026 Global Solar Report shows inverter failures were the second-largest source of power loss on solar farms in 2025, making early fault detection a baseline risk-mitigation requirement. Raptor Maps is promoting autonomous drone inspections to identify inverter issues that may be missed by traditional methods, aiming to cut downtime and strengthen returns for asset owners and O&M teams.

In parallel, the company released analysis of nearly 60 GW of non-aerial thermography data from 2025, revealing growing problems with high-voltage equipment, wiring, and environmental conditions. Tracker malfunctions emerged as a major contributor to power losses across a cumulative dataset of 373 GW of solar assets, reinforcing the need for more advanced diagnostics and mechanical reliability solutions.

Raptor Maps is advocating a shift toward higher-frequency, targeted infrared inspections enabled by its Sentry technology and autonomous drones, rather than relying on a single annual survey. This “arthroscopic surgery” approach for solar farms supports faster fault resolution, granular location-based insights, and a recurring software-and-services model deeply integrated with large-scale portfolios.

The company also showcased its capabilities at the Solarplaza Asset Management North America conference, where it served as Welcome Reception Partner and featured CEO Nikhil Vadhavkar in a session on AI and robotics in solar operations. Raptor Maps emphasized real-world deployments, citing more than 15 GWp of active autonomous drone operations and a 373 GWp dataset underpinning its analytics and automation platform.

Conference materials and demos highlighted a future operating model in which humans, robots, and AI agents collaborate to manage increasingly large solar fleets at scale. By targeting owners and operators responsible for financial performance, the firm is seeking to embed its software and data into high-value asset management workflows and reinforce its role in utility-scale O&M.

Further, Raptor Maps launched public office hours offering free one-on-one advisory sessions on predictive risk management, operational bottlenecks, and robotics integration. These “coffee chats” are framed as consultative rather than sales-led, allowing the company to gather direct feedback from asset managers and O&M leaders while helping clients address manual inspection and data fragmentation challenges.

Across these updates, Raptor Maps is leveraging its global dataset, including findings that newly commissioned sites experience an average 4.46% power loss at startup, to quantify performance risk and value creation opportunities. Collectively, the week’s developments suggest the company is consolidating its position in solar asset management analytics and automation, with growing emphasis on inverter and tracker risk mitigation, targeted inspections, and AI-enabled operations.