Building a resilient future
Building a resilient future
Most climate models measure what could go wrong. Few measure the adaptations that have already been built to manage it. The Global Adaptation Layer bridges that gap.
A property behind a seawall carries fundamentally different risk from one that isn’t. Hazard-only models can’t see that difference — they overstate risk where defenses exist, and miss it where they don’t.
Measure what could go wrong (flood depth, wind speed, fire probability), but are blind to the defenses already reducing impact.
Measures what’s been built to manage it — the infrastructure, land cover, and buffers that defend a location, turning raw hazard into resilience-adjusted, or adapted, risk.
We translate raw geospatial data into hazard-specific adaptation signals — quantifying both the proximity and adequacy of the features that defend a location.
Global satellite, terrain, and geospatial datasets, curated and harmonized.
Raw features (points, lines, polygons) classified into hazard-specific groups — water works, drainage and buffers, coastal defense, fire response.
A 0–100 adaptation score per hazard, decomposed into its drivers at location, regional, and national levels.
A 0–100 adaptation score per hazard (inland and coastal flood, heat, wildfire, drought, hurricane wind, hail, landslide, earthquake)
Each score breaks into its drivers (e.g. drainage systems, surface porosity, flood barriers, storage), at location, city, and national levels.
Building density, urban greenery, and surface context.
Surface porosity, drainage systems, barriers, and storage infrastructure.
Coastal defences, natural buffers, and drainage capacity.
Building strength and nearby protective infrastructure.
Water treatment, storage, amenities, and access.
Fire response, fire prevention, and fire detection features.
Building strength and local protection proxies.
Vegetation cover and manmade slope barriers.
Building strength and building sparsity.
GNI per capita, Human Development Index, vulnerable population share, gross fixed capital formation.
Add the adaptation layer your hazard models are missing; model both defended and undefended risk.
Build evidence-based adaptation strategies for clients at scale, grounded in quantified adaptation gaps.
Map where adaptation exists, where it’s absent, and where investment cuts exposure most.
Find whitespace where infrastructure is weakest relative to hazard, and capital reduces risk per dollar most.
Price risk on what actually protects an asset.
A global, multi-hazard dataset that identifies and quantifies hazard-specific adaptation infrastructure — the drainage, barriers, buffers, water works, and fire response that shape real-world resilience. It shows defended conditions on the ground, not just hazard exposure.
Hazard data tells you what could go wrong; the Global Adaptation Layer tells you what’s already built to manage it. Combined, they produce resilience-adjusted (defended) risk — more accurate than exposure alone.
Nine categories — heat, inland flooding, coastal flooding, hurricane wind, drought, wildfire, hail, landslide, and earthquake — plus a societal resilience layer.
Global coverage at up to 30-metre resolution, with hazard-specific adaptation scores and the underlying feature layers that explain them.
Updated quarterly. License the full layer or individual hazard-specific databases, delivered via API or Snowflake.
Adaptation scores are a core input to the Climate Risk & Resilience Index and the Climate GDP Impact Forecast, and they support resilience-adjusted underwriting.
Climate hazard data without adaptation data reflects an incomplete reality. See it on your own locations.