VIGIL-EARTH is engineered to support continuous monitoring, claims verification and portfolio-level risk decisions on the world's most exposed assets.
By the numbers
±2mm
Displacement precision
>98%
Detection accuracy
6 days
Revisit cycle
100+
Asset types
±2 mm
Ground displacement precision
Millimeter-scale from orbit
>98%
Detection accuracy
Across validated test sites
6 days
Satellite revisit cycle
Near real-time signal refresh
100+
Asset types monitored
Dams, bridges, pipelines, mines
Our mission
We exist to eliminate uncertainty in infrastructure risk assessment through satellite intelligence and geospatial AI.
Traditional risk assessment relies on periodic inspections, historical data and expert judgment. VIGIL-EARTH provides continuous, data-driven insight that sees what the human eye cannot detect — before failure becomes visible.
01
Multi-source global data ingestion with enterprise security — no site visits, no manual surveys.
02
Machine learning algorithms trained on geospatial risk patterns to surface signals humans cannot see.
03
Forensic-quality data accepted for underwriting decisions, claims validation and regulatory review.
By the numbers
±2 mm
Ground displacement precision
Millimeter-scale from orbit
>98%
Detection accuracy
Across validated test sites
6 days
Satellite revisit cycle
Near real-time signal refresh
100+
Asset types monitored
Dams, bridges, pipelines, mines
Technology foundation
Our platform combines satellite remote sensing fundamentals with machine learning to detect subtle risk signals in continuous data streams.
Synthetic Aperture Radar measures ground displacement with millimeter precision across vast areas and through cloud cover.
Machine learning models identify anomalous patterns in terrain behavior, moisture and infrastructure response.
Time-series processing reveals displacement trends and trajectories indicating emerging risk conditions weeks before visibility.