How We Use AI

An Overview for Our Customers

Riskthinking.AI's Climate Earth Digital Twin™ (“CDT”) platform models the financial impacts of climate risk to support strategic decision-making. The CDT integrates over two trillion data points across multiple layers, such as physical assets, climate hazards, economic risks, emissions, and socioeconomic data. This enables organizations to assess and compare the impact of various physical risks and identify significant financial vulnerabilities to climate change across risk factors, stochastic climate ensembles, and numerous climatology spans.

We employ AI to extract metadata from companies and physical assets using web crawlers and publicly available information. This ensures that our core risk modelling is based on rigorously validated, conventional statistical and machine learning techniques rather than AI-generated models.This approach enables us to provide immediate, actionable insights without compromising the integrity of the underlying datasets. Scenario analysis, financial impact assessments, and informative analytics are generated using authoritative and validated data sources, ensuring our analyses remain transparent, traceable, and trustworthy.

Riskthinking.AI does not utilize AI to generate synthetic data or conduct analyses. AI is limited to extracting metadata; all core analyses originate from authentic, empirically derived datasets and scenarios that our traceable and explainable algorithms produce. Every input into our system is gathered from real-world climate, financial, and economic data. By concentrating solely on analyzing and contextualizing existing data, we provide reliable and accurate insights, instilling confidence in our customers.