Aligned with the frameworks that matter


































Explore ClimoRisk
Why Financial Institutions Need Decision-Grade Risk Intelligence.
Regulators across major markets are requiring financial institutions to quantify climate exposure across portfolios. Most available tools return coarse global data and qualitative scores. Risk teams need asset-level loss estimates that feed directly into existing credit models.
Granularity Gap
5km resolution hides local flooding. Our 30m resolution captures the exact asset footprint.
Financial Output
Stop relying on scores from 1-10. Get projected loss values in your local currency, ready for credit workflows.
Multi-Hazard Coverage
We provide a holistic view of climate stressors, stacked across the same geospatial grid for perfect layer alignment.

Know how heat stress cuts worker productivity and drives up HVAC costs for commercial portfolios.

Combining fluvial, pluvial, and coastal surge models to determine depth-damage ratios for specific building archetypes.

Model storm track probabilities and peak wind speeds to estimate structural failure risk before your next renewal cycle.

Integrating fire weather indices and vegetation fuel load data with asset exposure to estimate burn probability and structural loss ratios for properties in fire-prone terrain.

Applying slope stability analysis and rainfall intensity thresholds to generate failure probability scores for infrastructure in high-relief or tectonically active zones.

Multi-year soil moisture deficits and subsidence risk translated into physical and revenue loss estimates for real asset and agricultural lending books.
Policy to Portfolio Translation
Converts national transition scenarios into asset-level financial signals, so risk teams stop reading policy documents and start reading loss estimates.
Transition Speed Modeling
Assess how rapid renewable adoption creates stranded asset risks for traditional energy financing and alters the LGD for grid-connected commercial real estate.
Source: NGFS Phase 4 Scenarios — Global Policy Context
Built for Precision
See how ClimoRisk compares to legacy risk platforms across the dimensions that matter most to risk teams.
Spatial Resolution
ClimoRisk
30 Metres
Typical Platforms
1 km (Coarse)
Primary Output
ClimoRisk
Financial — CVaR, EAL, ECL
Typical Platforms
Abstract Scores (1–100)
Transition Risk
ClimoRisk
NGFS Scenarios & Regional Policy Models
Typical Platforms
Physical Only
Regional Context
ClimoRisk
Country-Specific Data
Typical Platforms
Global Averages
Emerging StandardsIFRS S2 · UK SRS · AASB S2
ClimoRisk
Quantitative outputs meet disclosure requirements
Typical Platforms
Qualitative scores are insufficient for IFRS S2 & equivalent mandates
| Metric | ClimoRisk | Typical Platforms |
|---|---|---|
| Spatial Resolution | 30 Metres | 1 km (Coarse) |
| Primary Output | Financial — CVaR, EAL, ECL | Abstract Scores (1–100) |
| Transition Risk | NGFS Scenarios & Regional Policy Models | Physical Only |
| Regional Context | Country-Specific Data | Global Averages |
| Emerging Standards IFRS S2 · UK SRS · AASB S2 | Quantitative outputs meet disclosure requirements | Qualitative scores are insufficient for IFRS S2 & equivalent mandates |