Raptor Maps

Learning Objectives

• Describe what Raptor Maps does and why large solar portfolios need software to stay healthy
• Explain how computer vision turns aerial and drone imagery into actionable maintenance insights
• Identify the solar owners, operators, and service providers that rely on solar asset management

What Is Raptor Maps?

Raptor Maps is a software platform for managing and inspecting solar power assets at scale. Founded in 2015 and headquartered in Boston, Raptor Maps analyzes drone, aerial, and robotic imagery to find underperforming panels, faults, and defects across large solar installations. Its software is used across hundreds of gigawatts of installed solar, helping owners, operators, and service providers keep sprawling solar sites producing at their full potential.

A large solar farm can contain millions of individual panels spread across thousands of acres. Finding the small fraction that are broken, dirty, disconnected, or degrading is a needle-in-a-haystack problem for human crews. Raptor Maps automates the search and standardizes the data so problems can be located, prioritized, and fixed.

What Raptor Maps Does

Raptor Maps focuses on finding and organizing solar performance problems across a portfolio:

• Imagery analysis — processes drone, aerial, and robotic imagery to inspect panels at scale
• Fault and defect detection — identifies underperforming panels, faults, and defects across the site
• Anomaly localization — pinpoints where problems are so crews can go straight to them
• Standardized data — normalizes solar operations-and-maintenance data into a consistent record
• Portfolio-wide visibility — supports oversight across hundreds of gigawatts of installed solar

How AI Is Applied

Raptor Maps applies computer vision and analytics to imagery captured from drones, aircraft, and robots. Its models detect anomalies — such as thermal hotspots, cracked cells, and disconnected strings — that indicate a panel or component is underperforming or failing. The system then localizes each issue to a specific place on the site and classifies it, so operators get a prioritized, mapped list of problems rather than raw imagery.

The AI here is fundamentally computer vision plus analytics: it turns huge volumes of visual data into structured, actionable findings. By standardizing that output across many sites, Raptor Maps also lets owners compare performance and maintenance needs across an entire portfolio.

Who Uses Raptor Maps

Raptor Maps serves solar asset owners, operators, and independent power producers, as well as operations-and-maintenance service providers and engineering firms that inspect and maintain solar sites. It is used by organizations managing solar at utility scale worldwide, where manual inspection of every panel is impractical.

Pricing

Raptor Maps is enterprise software with quote-based pricing. Costs depend on the size of the solar portfolio, the volume of imagery and inspections, and the features and integrations required. Owners and service providers contact Raptor Maps directly for a tailored quote.

Company Details

Strengths

• Scale — inspects solar at utility scale, across hundreds of gigawatts of installed capacity
• Computer-vision detection — finds faults and underperforming panels from imagery that crews would struggle to review manually
• Precise localization — pinpoints where problems are so maintenance is targeted and efficient
• Standardized data — creates a consistent operations-and-maintenance record across many sites
• Portfolio oversight — enables comparison and prioritization across an owner's full fleet

Limitations and Considerations

• Imagery dependent — findings rely on capturing quality drone, aerial, or robotic imagery of the site
• Detection, not repair — the software locates problems, but crews are still needed to fix them
• Solar-specific — the tool is focused on solar assets, not other generation types
• Enterprise scope — most valuable for large portfolios rather than small, single installations

Key Takeaways

• Raptor Maps uses computer vision and analytics to inspect solar assets at scale from drone, aerial, and robotic imagery
• It finds underperforming panels, faults, and defects and localizes them across hundreds of gigawatts of installed solar
• Standardized operations-and-maintenance data gives owners consistent visibility across an entire portfolio
• Best for solar owners, operators, and service providers who need to keep large solar fleets performing at their full potential