The future is now: corralling diversity and complexity with ‘climate digital twin’ technology

A recent Chartis Research white paper highlights Riskthinking.AI’s Climate Earth Digital Twin (CDT) as a breakthrough in climate risk modelling for financial institutions.

The CDT integrates granular, global data with stochastic, forward-looking models to simulate a broad range of climate scenarios, providing a multifactor, multilayered analysis of risk. This unique platform combines physical climate hazards, macroeconomic trends, emissions data and socioeconomic factors into a single analytical framework, translating climate impacts into financial terms across multi-asset portfolios with minimal geographic restrictions.

Natively integrated with Amazon Web Services and Google Cloud, the CDT offers secure, scalable access to high-volume data and computation, making it enterprise-ready for banks, insurers and asset managers. By enabling consistent, data-driven scenario analysis and risk quantification, Riskthinking.AI’s CDT delivers substantial value in enterprise risk management, helping financial institutions anticipate and manage climate-related risks with greater confidence and precision.