Solutions​

We provide clients with the Data, Multifactor Scenarios, Intelligence and Standards needed to navigate the market and regulatory challenges associated with climate change. Our solutions are science-based, data-driven, algorithmically generated and leverage billions of data-points collected each day.

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Climate Risk Data Exchange

Comprehensive, consistent, and science-based, the CLIMATEWISDOM™ Data Exchange, provides subscribers a central location for accessing geo-specific Climate Risk Data. This data is needed to identify, evaluate, stress-test and rate potential financial impacts of climate change on industries, economies, portfolios and assets. 

Using Machine Learning and Structured Expert Judgement (SEJ), Riskthinking.AI collects, aligns, codifies and algorithmically generates trillions of data-points and tens-of-thousands of derived Climate Risk Datasets covering the entire surface of the earth. Our derived Climate Risk Data leverages a patented multi-factor scenario generation algorithm to capture the uncertainty in market-related risk factors at numerous future horizons.

Our tools and services enable users to access, visualize, analyze, compare, simulate and publish model data on scales from hours, months and years spanning from 1850 to 2100. Datasets are updated daily and available to subscribers via secure API.

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CLIMATEWISDOM™ simplifies the process of managing and analyzing petabytes of climate risk data for governments, regulators, financial institutions, climate scientists, analysts and business communities by mapping over 500 climate and socioeconomic variables to a user specified Climate Risk Region™

Each Climate Risk Region contains the Policy, Economic, Carbon, Social and Physical climate risks (Chronic and Acute) for a user specified time period (1850-2100) and transition scenario (SSP1-5, NGFS, ISIMIP). 

Climate Risk Regions scale globally, regionally, nationally from 150 square kilometers, to ultra high resolutions of 0.5 square meters, and even down to a specific latitude / longitude.

 

Climate Risk Data™ mapped to each Climate Risk Region™:

  • 58 leading Climate Models
  • 500+ Socioeconomic Variables
  • Structured Expert Judgement (SEJ)
  • 48 Transition Scenarios 
  • Environmental Observations 
  • Storm Track Data
  • Digital Elevation Models
  • Satellite Imagery
  • Physical Asset Data
  • Multifactor Scenarios
  • Market Sentiment Data
  • Macroeconomic Factors
  • Position Level Shocks
  • Macroeconomic Shocks
  • Physical Level Shocks
  • Climate Risk Rating™

Riskthinking.AI’s Climate Risk Data is organized in a hierarchy of climate risk and economic factors and aligned spatially and temporally to the Climate Risk Classification Standard (CRCS)™

CRCS™ is an emerging global standard that codifies the causal links of climate and macroeconomic drivers, factors and risks in a consistent transparent manner. 

We make Climate Risk Data “regulator ready” by enabling auditability of each and every piece of data allowing auditors to trace the precise origins of any data we produce.

Orange-Black@2x

Climate Risk Data Exchange

Simple, secure, cost-effective access to  consistent, regulatory ready Climate Risk Data spanning the globe.

Climate Risk Data Exchange

The Most Comprehensive, Consistent, Science-based Climate Risk Data in the World

The CLIMATEWISDOM™ Data Exchange, provides subscribers with a central location for easily accessing geo-specific Climate Risk DataTM. This data is needed to identify, evaluate and stress-test the potential financial impacts of climate change on industries, economies, portfolios and assets. It harmonizes transition scenarios like NGFS and IPCC SSPs with the data needed to calculate physical and investment risks.

Using Machine Learning and Structured Expert Judgement, Riskthinking.AI collects, aligns, codifies and algorithmically generates billions of data-points and thousands of derived Climate Risk Datasets covering the entire surface of the earth. Our derived Climate Risk Data leverages a patented multi-factor scenario generation algorithm to capture the uncertainty in market-related risk factors at numerous future horizons.

Our tools and services enable users to access, visualize, analyze, compare, simulate and publish model data on scales from hours, months and years spanning from 1850 to 2100.

CLIMATEWISDOM™ simplifies the process of managing and analyzing petabytes of climate risk data for governments, regulators, financial institutions, climate scientists, analysts and business communities by mapping over 500 climate and economic variables to a user specified Climate Risk Region™ Datasets are updated daily and available to subscribers via secure API.

Each Climate Risk Region contains the macroeconomic and climate risks (Chronic and Acute) for a user specified time period (1850-2100) and transition scenario (SSP1-5, NGFS, ISIMIP). 

Climate Risk Regions scale globally, regionally, nationally from 150 square kilometers, to ultra high resolutions of 90 square meters, down to a specific latitude / longitude.

The Most Comprehensive, Consistent, Science-based Climate Risk Data in the World

  • 58 leading Climate Models
  • 385 Environmental Variables
  • Structured Expert Judgement (SEJ)
  • Transition Scenarios
  • Environmental Observations
  • Storm Track Data
  • Digital Elevation Models
  • Satellite Imagery
  • Physical Asset Data
  • Multifactor Scenarios
  • Market Sentiment
  • Macroeconomic Factors
  • Position Level Shocks
  • Macroeconomic Shocks
  • Physical Level Shocks
  • Climate Risk RatingTM

Riskthinking.AI’s Climate Risk Data is organized in a hierarchy of climate risk and economic factors and aligned spatially and temporally to the Climate Risk Classification Standard (CRCS)™

CRCS™ is an emerging global standard that codifies the causal links of climate and macroeconomic drivers, factors and risks in a consistent transparent manner. 

We make Climate Risk Data “regulator ready” by enabling auditability of each and every piece of data allowing auditors to trace the precise origins of any data we produce.

Current climate risk scenarios are inconsistent, single-factored and generated in an ad-hoc manner. As a result, regulators and decision makers are not armed with the scientific evidence or data required to make informed financial and risk mitigation decisions.

Our API accessible Scenario Generation Algorithm algorithmically generates forward-looking,  multi-factor scenarios that are consistent, data driven and science-based.
 
Riskthinking.ai has built a data-driven, science-based, forward-looking scenario generation platform that provides Climate Risk Stress Testing and a Climate Risks Score. It provides policy and decision-makers with scenarios that include both the best and worst-case climate change outcomes. Armed with comprehensive and reliable data, a Climate Risk Score algorithmically generated from our scenario based Climate Risk Stress Test, public and private sector leaders have a fiduciary duty to protect assets and stakeholders from future climate risk.  We solve a major problem that constrains the benchmarking of climate-related financial impacts related to TCFD disclosures by generating scenarios that are consistent across sectors and markets.
 
For the first time, a platform will facilitate the formation of indexes to enable the trading and mitigating of financial risks associated with climate change. These indexes will allow investors to position their portfolios towards companies with good environmental credentials, thereby enabling large reductions in their investment footprint and further enabling important GHG reductions.

CLIMATEWISDOM provides subscribers secure access to Climate Risk Data, Stress-Test results, algorithmically generated Climate Risk Ratings and insights into their specific financial risks and opportunities associated with climate change.

Services

We build benchmarks, ratings and provide bespoke multi-factor scenarios.  Using Climate Risk Data and our multi-factor Scenario Generation Algorithm we work with clients to conduct Climate Risk Stress-Tests and to measure the financial impact of climate change.