Riskthinking.ai - Climate Wisdom by Riskthinking.ai
Data category
- Environmental data
- Ratings
- Research data
The data offers solutions for:
- Climate scenario analysis
- Environmental impact analysis and insight
- Investment decisions and portfolio insight
- Reporting: CSRD
- Reporting: Impact
- Reporting: SFDR
- Reporting: TCFD
- Reporting: TNFD
- Reporting: UN SDGs
- Temperature alignment
- Transition plan assessments
Who are the data users?
- Corporates
- Financial institutions
- Investors
Brief description of the data offering
Riskthinking.ai’s ClimateWisdom dataset includes all Physical and Transion risk variables, projections, and risk indices needed to conduct climate risk assessments on a worldwide basis. ClimateWisdom is used to assess the future impact of climate exposure on any asset, anywhere in the world and across any future time horizon. We generate asset-level Climate Risk Scores that reflect the stochasc dimensions of climate projections, and convey the likelihood of every asset under an institution’s purview of experiencing downside risk or upside opportunity from climate change. Climate Risk Scores can be aggregated by asset type, asset class, portfolio, company, economic sector, or geographic region.
Where and how do you source your data?
Riskthinking.ai uses a novel classification standard to align climate and economic projections from every scientific model for every risk factor relevant to over 33 billion individual locations on planet. Risk factor projections are combined with the physical location of individual assets anywhere in the world for clients to understand the impact of climate exposure at any point in the future, out to 2100. A patented multifactor stress testing algorithm does this systematically, and pairs the probability of future climate events with their economic impact at the asset level, for any Physical or Transition Risk factors relevant to the asset, revealing blindspots that would be missed by deterministic methods
What is the cost for your data offering?
Dependent on client size, use case and other factors.