Most climate risk data is reported at the country, regional, or sector level. That is useful for high-level strategy, but it systematically misrepresents risk for any specific decision - underwriting a loan, pricing an insurance policy, or disclosing emissions for one facility. Asset-level data answers the question at the resolution the decision actually requires.
Why Regional Averages Mislead
A regional flood-risk score averages across every property in that region, regardless of elevation, construction, or existing flood defenses. Two buildings a block apart can have dramatically different actual exposure that a regional average erases entirely. The same is true for emissions: a sector-average emissions factor cannot tell you which specific facility in a portfolio is the outlier driving disclosed totals.
How Asset-Level Measurement Works
Floodlight measures emissions and models physical risk at the level of an individual asset - a single facility, building, or parcel - using satellite observation for emissions and location-specific hazard modelling combined with published damage curves for physical risk. Every figure is traceable to a specific asset, not interpolated from a regional or sector average.
What Asset-Level Data Enables
- •Accurate Underwriting and Lending Decisions. Price risk on the specific collateral or insured asset, not a regional proxy.
- •Portfolio Hotspot Identification. Find the specific assets driving portfolio-level risk or emissions, rather than treating the whole portfolio as uniform.
- •Defensible Disclosure. Regulatory frameworks increasingly expect facility-level detail; asset-level data is audit-ready by construction.
- •Targeted Mitigation. Direct capital toward the specific assets where adaptation or efficiency investment has the highest return.