Get answers to your frequently asked questions.

Solar PV Solutions

What are PV Thermal Inspections & Analytics?
Raptor Maps’ full-service post-processing, analytics, and reporting solution for thermal and RGB (color) data created from PV system inspections. We have been used for site inspections, analytics, and reports on PV systems as small as 200kw and sites as large as 300+MW. You can learn more about our product here.

How long does an inspection take?
The length of time for an inspection depends on the size of the site. Drones are the quickest and most efficient way to inspect a solar PV system; drones accomplish what would take manual IV curve testing 1 day in 1 hour. In our experience, a drone inspection can cover anywhere between 10-50MW in a single day.

How accurate are the findings?
Thermal cameras and drones allow our software to accurately identify anomalies. The software findings are quality checked by a trained team to ensure that module-level anomalies are tagged with 95% accuracy, and string-level anomalies are tagged with 99% accuracy.

How does pricing work?
The price of our service depends on the type of inspection, the systems’ size, and number of systems being inspected. Please contact us to provide a few basic details about your project so we can provide a quote.

What are the data capture requirements?
Raptor Maps is flexible. We will work with your organization to ensure the fastest workflow for your level of analysis. Please contact us here to learn more.

How long does it take to receive a report?
Reports will be delivered within 7-10 days once Raptor Maps receives all data and site details.

Solar Construction

Do you do work in solar construction?
Yes, our software, Raptor Solar, supports teams through each stage of the solar PV system construction process, keeping members up-to-date on the progress and status of each project.


AI, Machine Learning, API

What is your Enterprise AI solution?
Raptor Maps develops custom, end-to-end machine learning and AI solutions for enterprises that leverage drones and aerial data. The Enterprise AI solution includes custom algorithms trained for specific assets, interfaces and alerting systems, incorporation of asset and other IoT/SCADA data, backend IT integration, and more.

Who uses Enterprise AI? 
Raptor Maps’ Enterprise AI customers vary, ranging from publicly-traded utilities to multinational food processing companies. If your organization is putting drones or thermal imaging sensors to work, contact us to learn more.

Does your software allow integration? 
Yes. Using API endpoints, our software allows integration into and communication with companies’ existing work management systems. Find more information here.

Drone Service Providers 

Can I fly for Raptor Maps?
Qualified vendors can fly for Raptor Maps. Please go to https://raptormaps.com/partner/ and contact us to determine if you qualify.

Can I be an exclusive partner? 
Raptor Maps does not have any exclusive partners for drone services.

How do I start using Raptor Maps? 
If you already have a Raptor Maps account and have placed orders, please visit our Knowledge Hub for software guidance. If you do not have an account or ongoing orders, please contact sales@raptormaps.com. Once your account has been created you can order an inspection with our Inspection Data Capture Services or collect your own data and order through our Raptor App online platform.

How does the pricing work? 
Price varies by features, site size, and portfolio size. Please contact sales@raptormaps.com for more information.

Does my equipment work with your software? 
Please visit our Knowledge Hub for equipment guidance.

Can I resell for Raptor Maps? 
Raptor Maps fully supports the post-processing of aerial data collected by drone service providers (DSPs). While DSPs are not authorized resellers of Raptor Maps’ products, they may however work with Raptor Maps to help meet a particular customer’s project goals. DSPs will often work with our sales team to generate specific proposals and quotes to maximize success from start to finish.

What is the nature of the relationship between drone service providers, end-users, and Raptor Maps? 
Raptor Maps has built hundreds of strategic relationships across the globe with DSPs. We aim to support the post-processing needs of our DSP customers and by extension their customers/end-users. Some DSPs integrate with our APIs to speed up data transfer and processing. Raptor Maps is involved in proposal generation, data analysis, report generation, project management, and customer service. A Raptor Maps Account Executive can provide the DSP and/or end customer with a live product demonstration.

Can we license the software? 
The analysis is completed within the Raptor Maps cloud platform to ensure proper quality control procedures and is not available for licensing.

Our Company

Who is Raptor Maps?
Raptor Maps is led by MIT engineers Nikhil Vadhavkar and Edward Obropta. The company was founded in 2015. Read more about the founders here.

What does Raptor Maps do?
We provide a software solution that improves the value of a solar asset over time. We do this by enabling drone technology to be utilized in solar PV inspections. We efficiently process asset condition and output, create actionable analytics, and deliver this information in a format that easily integrates into any workflow.

Where are you located?
Raptor Maps is headquartered at Greentown Labs’ Global Center for Cleantech Innovation in the Greater Boston area.

Who can use Raptor Maps?
Asset owners, managers, engineers, and construction managers are all able to utilize our software solution.

Do you provide drone services?
Yes, through our global network of drone service provider partners, we’re able to have a local and trusted drone pilot to any site location within two weeks. All drone operations are contracted, managed, and controlled by Raptor Maps. Learn more about our Inspection Data Capture Services.

How does the software work?
Our software analyzes aerial imagery to identify anomalies causing power production loss. Software tools supported by artificial-intelligence increase power production, reduce risks and lower operation costs by tracking the efficiency of a PV plant over time.