The pressure is on to keep solar assets performing at peak efficiency. Advanced thermal drones can scan entire solar farms in hours, not days—but choosing the right hardware is only half the story.
The Real Magic? Turning thousands of drone images into simple, actionable reports that keep your assets generating maximum revenue.
50MW site: 1 day vs 1 week manual
$5,000 vs $20,000 manual inspection
Spots problems invisible to human eye
A top-tier drone will hand you a folder with 10,000+ images. Now what? Teams get bogged down spending days or weeks sorting through this "data dump."
That's the problem we solve—turning raw drone data into actionable intelligence.
Based on the data we process and the systems we build, these platforms deliver the most reliable and actionable information for O&M teams.
The heavy-duty solution for large, utility-scale solar farms. Built to capture the most comprehensive data with incredible precision.
The perfect sweet spot between top-tier performance and practical cost. Ideal for most commercial and industrial solar sites.
When absolute thermal accuracy is non-negotiable. Built by FLIR, the world leaders in thermal imaging technology.
An effective drone program isn't just about flying—it's about having an intelligent system that automatically processes the data. Here's how it should work:
Your drone provider flies the site and collects raw thermal and visual data
Our systems automatically sort, label, and structure every identified fault
Clean, actionable insights push directly to your dashboards and CMMS
The right drone depends entirely on your business goals. Are you managing a few commercial rooftops or a portfolio of utility-scale farms? Are you focused on quick repairs or long-term degradation analysis?
The hardware choice should be driven by the data you need.
Choosing a drone is a conversation for your field provider. Designing the system to manage its data is a conversation for us.
As technical specialists, we don't fly drones—we build the intelligent backend that turns aerial data into business results.
Implementation stack
We choose the stack around the job: browser maps for decision surfaces, spatial databases for reliable data, Python and GIS libraries for analysis, and annotation tools when imagery needs reviewer-ready labels.
QGIS
GIS Software
ESRI ArcGIS
GIS Platform
PostgreSQL
Database
PostGIS
Spatial Database
AWS
Cloud Platform
Google Cloud
Cloud Platform
DuckDB
Analytics Database
OpenAI
AI Platform
Claude AI
AI Assistant
CVAT
Annotation Tool
Python
Programming
React
Frontend
Node.js
Backend
Docker
Containerization
Kubernetes
Orchestration
Azure
Cloud Platform
TensorFlow
Machine Learning
Pandas
Data Analysis
NumPy
Scientific Computing
Jupyter
Data Science
Git
Version Control
Linux
Operating System
Ubuntu
Operating System
Mapbox
Mapping Platform
Leaflet
Web Mapping
Fastapi
API Framework
GeoPandas
Geospatial Analysis
GDAL
Geospatial Library