Proven with large global users
Uses frontier AI and machine learning to create dynamic, best-in-class scientific models
Creates a comprehensive and open inventory of millions of global assets, from factories to forests
Determine standardised risk ratings and generate data for disclosure
Build an increasingly detailed view of their climatic risk exposure
For the first time, users will be able to:
Access ‘decision-ready’ insights
We do this through pioneering Earth Science AI, which:
Harmonises disparate data sources and inputs including remote sensing
Develops insights into a range of climate signals at asset-level across a range of timeframes
To date, our Earth Science algorithms have been comprehensively tried and tested by large-scale collaborations with organisations including Syngenta, McCain, and the Government of Colombia.
