Environmental Intelligence
Building a digital understanding of the natural world.
Coan integrates drone, satellite, and sensor data using AI to measure, model, and monitor ecosystems — from fine-scale 3D structure to landscape-scale change — supporting carbon, biodiversity, and environmental risk assessment.
Delivered for
Academic background
Featured work
All projects →
Mapping · Defra UK
Wet Woodland Distribution in England
Interactive mapping of wet woodland extent, density and restoration potential across England at 10m resolution. Delivered for Defra UK.
LiDAR · Semantic Segmentation
3D Forest Structure from Point Clouds
Deep learning segmentation of airborne LiDAR point clouds to extract individual tree structure, wood-leaf separation, and canopy metrics at scale.
Remote Sensing · Change Detection
Landscape-Scale Change Detection
Time-series analysis of satellite imagery to detect and quantify land cover change across large environmental monitoring areas.
Where we work
Developed on the Isle of Man.
Applicable everywhere.
Based on the Isle of Man — one of the world's first UNESCO Biosphere Reserves — we use this living laboratory to develop and validate AI systems for environmental monitoring at scale.
From ancient uplands to coastal margins, the island's ecological complexity makes it a rigorous test bed for deep learning applied to real, dynamic ecosystems.
Services
All services →Environmental Mapping
AI-driven habitat and land cover mapping from LiDAR, aerial, and satellite data.
Point Cloud Analysis
3D analysis of terrestrial and airborne LiDAR — tree segmentation, canopy metrics, structural parameters.
Custom ML Pipelines
End-to-end machine learning pipeline development for environmental datasets.