Carbon credits transacted in the voluntary carbon markets are among the most complex and opaque financial instruments in the world, segmented by numerous individual characteristics of underlying carbon projects.
Determining the value of carbon assets is also challenging due to the format of carbon transactions, which are typically bilateral agreements between market participants.
The contributions that carbon projects make towards the United Nations’ Sustainable Development Goals (i.e. SDG 13) enhance the value of the projects’ associated carbon credits.
Artificial intelligence (AI) is an extremely effective tool for managing very complex carbon data sets, resulting in transparent valuation techniques for carbon credits.
AI models are trained on comprehensive sets of data originating from over-the-counter (OTC) market transactions, along with geoscience and market benchmarks. This approach enables these models to comprehend the variations and natural complexities of carbon projects, including the projects’ respective contributions to Sustainable Development Goals (SDGs).
This AI-enhanced approach to value discovery is vital for minimizing obstacles for urgently needed capital flows to achieve climate and sustainability goals.
Forecasting carbon emissions can assist sustainable equity investors in making more informed and rational decisions when deploying capital.
Our AI technologies enable carbon industry participants to better understand the financial and non-financial value associated with their carbon assets.