AI-powered shadow analysis of satellite imagery for oil pipeline leak detection
ShadowCast analyzes how shadows shift and interact with terrain in satellite imagery to identify subtle ground disturbances caused by underground pipeline corrosion, leaks, or theft. Detect anomalies weeks before traditional monitoring methods, saving millions in cleanup costs and preventing environmental disasters.
Request DemoAn oil company executive sees their entire pipeline network displayed as a living shadow map, with a tiny shadow anomaly in a remote section of desert instantly flagged as a potential leak — 3 weeks before it would have spilled a single drop, saving millions in cleanup costs and environmental damage.
Click anywhere on the satellite view to simulate shadow anomaly detection