XDI analytics test assets against the evolution of hazards for which there is no precedent; a truly forward-looking approach which embodies scenario analysis best practice. Data from the latest IPCC climate models is used.

Catastrophe models rely on historical data which is limited to insured loss of an outmoded asset base within the former geographic boundaries of climate hazards

XDI identifies failure and damage thresholds at the level of asset componentry (e.g. electrical or construction elements) to build up an accurate picture of the overall impact of a climate hazard on an individual asset.

Simple approaches to physical risk assessment fail to quantify resilience of an asset. Exposure of a hazard is not enough information to plan for mitigation of the effects of climate impacts, or build resilience in future operations.

XDI runs multi-terabyte parameter data from the latest IPCC models through statistical engines which generate high fidelity hazard probability distributions.

Heat and precipitation trend data is available in the public domain. An incorrect, though often used approach is to estimate the frequency and severity of climate hazards from these basic metrics. The approach lacks scientific rigor.