Underwriting, accumulation and claims

Insurance & Reinsurance

Evaluate ground movement exposure with objective satellite-derived intelligence.

The problem

Subsidence exposure is usually modelled from soil maps and historical claims. Neither tells you whether a specific address is moving right now, and both are the same data every competitor prices from.

How we approach it

Measured displacement history at address level across a whole book, turning a modelled peril assumption into an observed accumulation view.

What you get

  • Address-level exposure from measurement, not inference
  • Accumulation analysis for reinsurance submissions
  • Independent claims validation from displacement history
  • Differentiated pricing on data competitors lack
Rows of tiled rooftops in a residential development, seen from above

01

Reconstruct the baseline

Years of archive radar are processed before anything new is captured, so the first delivery already shows how the ground has behaved rather than only where it stands today.

A suburban neighbourhood at dusk, its streets picked out by lighting

02

Measure every pass

Each new acquisition is processed against the same reference, giving a continuous displacement history for every stable reflector across the asset and its surroundings.

Houses and streets standing in floodwater

03

Separate signal from season

Seasonal swelling and shrinkage is isolated from persistent movement, so a rate that warrants attention is not confused with ground that returns to where it started.

A neighbourhood after a storm, roofs torn away and debris across the gardens

04

Rank and report

Structures are ranked by measured rate against thresholds you set, with the displacement history behind every flag available as evidence.

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