Fairatmos
Carbon project assessment
Specialists spent weeks digitizing maps on laptops. AI now assesses carbon revenue across 450M hectares in seconds.
- Carbon analysis time cut from 3 months to seconds
- 450M hectares analyzed vs thousands previously
Field sensors were costly and prone to theft. Vertex AI analyzes satellite radar to verify drainage with 99.6% accuracy.
A climate tech startup addressing methane emissions from rice paddies, which account for over 10% of global methane output, exceeding the entire aviation industry.
Verifying water drainage for carbon credits traditionally relied on physical sensors that were costly, prone to theft, and difficult to maintain...
“논의 박테리아 중 일부는 산소가 없는 환경에서 유기물을 분해해서 메탄을 발생하는데, 물을 내보내면 땅에 산소가 닿으면서 박테리아가 제거되 메탄의 발생이 크게 줄어듭니다. 여러 연구 조사 결과 메탄가스 배출량을 40%까지 줄이고, 농업용수도 오히려 적게 쓴다고 합니다. 그저 특정 시점에 물을 배출하고 논을 말리는 것으로 기후 변화를 막을 수 있는 간단한 방법이지요.”
Nature-based ESG consulting and carbon emission monitoring platform.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Specialists spent weeks digitizing maps on laptops. AI now assesses carbon revenue across 450M hectares in seconds.
Manual audits took nine months to sample 0.1% of trees. Now, digital twins measure every tree to verify credits in weeks.
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Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.