Risk Prediction

Predictive monitoring for civil assets that flags infrastructure risk before surface damage appears.

Business impact

• critical structural faults flagged in time — The article says Munich Re-backed underwriting will flag 99 percent of critical structural faults in time to prevent catastrophic failure.
• major structures covered — The platform is described as spanning more than 7,000 major structures.

Data requirements

• synthetic aperture satellite radar (image) — Provides orbital readings used to detect millimeter-level ground movement and standing water.
• historical engineering records (tabular) — Provide asset history and structure context for the predictions.
• localized traffic modeling (tabular) — Feeds current and forecasted Average Daily Traffic into the risk profiles.
• visual inspection logs (text) — Combined with orbital telemetry to create a unified view of asset stability.

AI methods and techniques

• machine learning — Used to combine satellite radar, engineering records, and traffic data into predictive risk profiles.
• predictive risk modeling — Used to estimate infrastructure risk two to four years ahead.
• remote sensing analysis — Used to detect ground elevation changes and pooled water from orbit.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: AstraZeneca, Dynamic Infrastructure.