AXO provides an AI-powered computer vision platform that automatically detects and analyzes objects in drone and satellite imagery. The system identifies solar panels, buildings, vehicles, trees, and waste while extracting insights such as counts, sizes, locations, and patterns. It serves industries including solar energy planning, infrastructure monitoring, and smart city development with GIS mapping integration.
Funding
Funding not disclosed
Founders
Product
Problem
Manual inspection and tagging of aerial and satellite imagery is slow, labor-intensive, and prone to human error. Businesses in solar energy, urban planning, and infrastructure monitoring struggle to extract accurate, scalable insights from large volumes of visual data, delaying project decisions and increasing operational costs.
Solution
AXO offers an AI-driven object detection platform that automates the analysis of drone and satellite images using advanced computer vision and deep learning. The system scans imagery to identify critical objects—including solar panels, rooftops, trees, vehicles, waste, and buildings—with precision, eliminating the need for slow manual tagging. Beyond simple detection, AXO extracts actionable insights such as object counts, sizes, geolocations, and spatial patterns. The platform integrates with GIS mapping and remote sensing workflows, enabling users to visualize and analyze land use, monitor infrastructure, and support data-driven planning. By transforming raw visual data into structured intelligence quickly, AXO helps organizations accelerate project timelines and improve decision-making accuracy.
Target Audience
Primary customers are organizations in solar energy development, urban planning, smart city initiatives, and infrastructure monitoring that require scalable, automated analysis of drone or satellite imagery.
Features
- AI-powered object detection trained on aerial and satellite imagery for objects including solar panels, buildings, roads, vehicles, trees, and waste
- Automatic extraction of object counts, dimensions, geographic coordinates, and spatial distribution patterns
- GIS mapping and spatial analysis capabilities for land-use assessment and infrastructure monitoring
- Solar panel-specific analytics covering installation location, panel count, and condition/quality assessment
- Smart city infrastructure mapping for detecting buildings, footpaths, and construction activity to support urban growth monitoring