CDTexpress

Analyze climate data on your terms with flexible 
tools for custom risk modeling.

Tap directly into the Climate Digital Twin (CDT™) via API to extract data with 
precision, as well as modify, augment, and upload your own inputs.

Pivot Irrigation #1 High Plains, Texas Panhandle, USA, 2011 photo © Edward Burtynsky, courtesy Nicholas Metivier Gallery, Toronto

How the engine works

RiskThinking.AI's Climate Digital Twin (CDT) engine runs 2,000+ stochastic climate futures simultaneously, models compound and multi-hazard interactions at asset level, and produces full probability distributions including tail events - not single-scenario averages.

CDTexpress exposes the CDT engine through a high-performance API - 50+ hazards, 193 countries, and asset-level stochastic outputs for research, development, and advanced climate risk applications.

Read about Climate Risk 2.0 methodology

API

Access the full power of the CDT through a well-documented, intuitive API, designed for fast onboarding, seamless integration, and comprehensive control.

API screenshot

Select from layered geospatial and risk intelligence.

Physical Asset Data

2,000 Market Indices
13,000 Listed Parent Companies
6,000,000 Physical Assets
Physical Asset Materiality Scores
Extensive Reference Data

Climate 
Hazard Data

50+ Climate Hazards
241Bn Global Locations
193 Countries
All IPCC Scenarios
15 Horizons (2025 – 2100)

Risk 
Analytics

Expected Loss and Tail Risk
Risk Probability
Physical Damage
Productivity Loss
Hazard Attribution

See the climate future before it hits.

Let us show you how RiskThinking.ai can help you
gain foresight and adapt with precision.