GreenChecker is a system operated by Osaka Gas that uses AI to support companies in procuring and selling credits
Not sure which credit to choose
There are few specialists in quality evaluation
Concern about greenwashing risk
Too many documents to read through
Significant reduction in time required for credit quality evaluation
1month
10minutes
Significant reduction in cost for credit quality evaluation
5,000,000yen
(Cost per project)10,000$
(Annual cost)Even if carbon credits meet issuance standards, the risk of greenwashing is not completely eliminated.
Therefore, GreenChecker supports evaluations and insights from perspectives that differ from the issuance standards, as conducted by rating agencies, research institutions, and others.
GreenChecker is an AI tool that checks how well projects align with various evaluation criteria.
Quantitatively visualizes the degree of greenwashing risk in a project
*Refer to numbers on screen
Clearly summarizes the required criteria
Explains whether criteria are met with reasons
Differences can be clarified by comparing projects side-by-side
GreenChecker is a system operated by Osaka Gas that uses AI to support companies in procuring and selling credits.
Examples of use in early project stages
Examples of use in later project stages
Carbon credits are issued by meeting the standards of each system, but that alone does not guarantee quality. Even within the same system and project type, there are large differences in quality in terms of additionality, permanence, leakage, monitoring accuracy, etc.
Currently, carbon credit quality is evaluated under multiple frameworks such as ICVCM and various rating agencies. However, evaluation criteria and perspectives differ, and it is not uncommon for assessments of the same project to diverge. As a result, selecting which credit to choose has become more difficult.
Selecting low-quality credits may lead to serious risks in corporate activities, such as being regarded as greenwashing, reputational damage, and errors in investment or procurement decisions.
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