Raptor Maps

Raptor Maps is a software platform specializing in the inspection and management of large-scale solar assets. The company offers a comprehensive solution called Raptor Solar, which provides advanced analytics, insights, and productivity tools for the entire solar lifecycle, from financing and development to operations and maintenance.

Raptor Solar creates digital twins of solar sites, incorporating aerial thermal inspections, data standardization, serial number mapping, warranty claim features, equipment records, and mobile tools. This powerful platform enables users to standardize and analyze data across installations, optimize PV assets, reduce risks, and ultimately enhance financial returns.

Raptor Maps' technology relies on machine learning and an industry-leading data model built from over 50 GW of solar power data across 40 countries. According to the company's 2022 Global Solar Inspection Report, 2.6% of solar power is affected by anomalies. The Raptor Solar platform addresses these issues by providing detailed insights and tools to monitor, maintain, and optimize solar assets.

Through its software, Raptor Maps offers valuable features such as benchmarking portfolio performance against industry averages, quantifying financial losses due to anomalies, and streamlining warranty claims processes. The company's customers include prominent players in the solar industry, such as Tesla, SOLV Energy, Rosendin Electric, Cypress Creek Renewables, and McCarthy.

Key customers and partnerships

In May 2022, Cypress Creek Renewables, a leading solar energy company with a 3.9 GW portfolio across 19 states, integrated Raptor Solar into its portfolio analytics. This partnership allows Cypress Creek to digitize its solar assets, make data-informed decisions, and optimize performance and returns through Raptor Solar's productivity tools and insights.

Raptor Maps has also collaborated with GreenPowerMonitor, a monitoring provider, to better monitor solar assets. This combined software platform localizes inverter, combiner, and pyranometer data to the correct geospatial position on a solar farm, enabling asset owners and operators to assess the impact of physical module conditions on power production.