Riskthinking.ai - VELO
Data category
- Environmental data
- Indices/Exchange data
- Ratings
- Research data
The data offers solutions for:
- Climate scenario analysis
- Environmental impact analysis and insight
- Geospatial/location data
- Investment decisions and portfolio insight
- Physical risk
- Reporting: Impact
- Transition plan assessments
Who are the data users?
- Corporates
- Financial institutions
- Government
- Investors
- Trustees
Brief description of the data offering
VELO:
The VELO application is an analytical web interface that is intended to be used as a tool for examining multiple companies or indexes and evaluating their climate risk exposures over time. By default, users are provided with access to 25 companies or indexes for analysis and benchmarking. Additional companies can be added at any time.
VELO & API Access
In addition to VELO’s robust web-based analytical tools, direct access to its API can also be licensed, providing direct access to the data for integration into proprietary tools and workloads. Pricing for API access to VELO is based both on the number of companies and the usage of the API. Proprietary asset data uploads and secure climate risk scoring are also available.
Where and how do you source your data?
Riskthinking.AI has introduced a patented and mathematically-consistent approach to simulate the future uncertainty and impacts of climate change. This approach powers our Climate Earth Digital Twin (CDT) and generates the data and analytics used to create the experience and data within VELO.
The foundation of our CDT is a clean, structured and completely integrated dataset that enables Riskthinking.AI to consistently apply our methodology across global locations, horizons and risk factors.
The CDT aligns more than two trillion data points across multiple integrated data layers. These layers cover physical assets, climate hazards, economic risks, emissions and socioeconomic data. The following table presents the main data layers in the CDT.
The CDT’s physical asset database currently covers more than 80,000 parent companies, 350,000 subsidiary companies, and 5,000,000 physical assets.
To build this database, Artificial Intelligence (“AI”) and Natural Language Processing (“NLP”) are used to harvest physical assets from publicly available sources, identify the owners, and assign the asset type. Computer vision, applied to publicly available satellite images, is used to model physical asset footprint and size.
For every location on Earth, the Climate Earth Digital Twin covers the uncertainty distributions of more than 20 climate hazards.
To systematically apply our stochastic approach, Riskthinking.AI requires historical and forward-looking uncertainty distributions for multiple climate hazards. These distributions represent the full array of expert projections and their probabilities. It is essential to consider every projection – including the extremes – when measuring the future uncertainty and potential impact of climate change.
The CDT includes significant climate hazard data to fulfill the requirements of our stochastic approach. All source data meets a minimum set of integrity requirements, including that they are published by a peer-reviewed journal (e.g., Nature Climate Change), intergovernmental organization (e.g. Intergovernmental Panel on Climate Change) or government agency (e.g., National Oceanic and Atmospheric Administration (“NOAA”)).
What is the cost for your data offering?
VELO web access
Prices starting at $25,000 for 25 companies. Additional companies can be added for $1,000 per company
VELO & API Access:
Prices starting at $50,000. Additional companies can be added for $1,000 per company. Proprietary asset data uploads and secure climate risk scoring also available for an additional fee.