Carbon-credit review in up to 70% less time.
A leading Japanese energy company scores carbon-credit documents with an AI pipeline that shows the evidence behind every verdict. It runs in production today.
Expert review could not keep pace.
Each credit rests on a long, technical Project Design Document. Experts scored it by hand, criterion by criterion, which was slow, hard to keep consistent and hard to defend in an audit.
Five stages, one verdict, one evidence trail.
Every page and figure
OCR reads each page and every figure is extracted.
Figures in words
AI describes each figure, so it is read as carefully as the text.
Scored per criterion
LLM scoring against bilingual (JA/EN) methodologies.
One verdict with evidence
Every score links back to its source in centralised dashboards.
Faster review that holds up to an audit.
- Document review time
- −70%Up to 70% less review time
- Manual scoring errors
- FewerEach criterion scored the same way
- Audit readiness
- BetterTraceable scoring logic. Two languages, one method.
Measured in production. Client name withheld under NDA.
SoftSora remains the ongoing engineering partner. Wider use is now in discussion with a national environment ministry.
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