Daigas Group (Osaka Gas Co., Ltd., President: Masataka Fujiwara) has pioneered the world’s first system that uses Generative AI to assess the quality of carbon credits. This innovative system allows for fast and precise evaluation of carbon credits, reducing the risk of greenwashing and enhancing trust in the carbon credit market. The system is set to expand its application areas in the near future and contribute to improving the reliability of carbon trading.

Generative AI Enables Swift Carbon Credit Evaluation, Combining Speed and Quality

Carbon credits, which certify the reduction or removal of greenhouse gases (GHG), play a vital role in advancing a sustainable future. In corporate transactions, the reliability and quality of carbon credits are increasingly scrutinized. Daigas Group has developed an AI-driven system capable of quickly and accurately evaluating the quality of carbon credits. This new system can comprehensively evaluate numerous projects, reducing the time required for assessments from several months to mere seconds.
The system analyzes carbon credit creation project plans using AI, evaluating their consistency against over 100 standards to ensure credit quality. In addition, comparisons with previously evaluated projects further enhance the accuracy of these assessments. The AI’s capability to provide relative quality comparisons between projects also offers promising future applications.
As the carbon credit market is expected to grow rapidly by 2030, this technology is anticipated to improve trust and ensure the quality of credits traded. Furthermore, it will help mitigate greenwashing risks and price fluctuation concerns, contributing to the development of a more sustainable and reliable carbon credit market.
Moving forward, Daigas Group plans to continue refining this system and collaborate with related companies to deliver new value. By offering system licenses and utilizing it in trading platforms, the system is poised to become an essential tool in supporting society’s decarbonization efforts.

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