Carbontribe develops a Web3-based carbon removal standard that utilizes AI-driven digital monitoring, reporting, and verification (dMRV) to create traceable carbon removal digital assets. This approach addresses the inefficiencies and fraud associated with traditional carbon credits by ensuring tamper-proof records and scientific reproducibility through blockchain technology.
Funding
$150K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional carbon credits suffer from inefficiencies and fraud due to a lack of transparency and reliable verification methods. Existing monitoring, reporting, and verification (MRV) processes are often slow, costly, and prone to manipulation, leading to concerns about greenwashing and hindering the effectiveness of carbon offsetting initiatives.
Solution
Carbontribe offers a Web3-based carbon removal standard that leverages AI-driven digital monitoring, reporting, and verification (dMRV) to create transparent and traceable carbon removal digital assets (CARDATs). By integrating satellite imagery, computer vision, and blockchain technology, Carbontribe ensures tamper-proof records and scientific reproducibility in carbon removal projects. This approach streamlines the carbon credit generation process, reduces costs, and enhances trust by providing real-time and historical analysis of land usage and green indices. The resulting CARDATs can be traded across multiple platforms and used for carbon offsetting, with a transparent burning mechanism to issue offset certificates.
Target Audience
Carbontribe targets sustainable innovators, landowners, and investors seeking to collaboratively create and trade carbon removal digital assets, as well as organizations looking to enhance their carbon accounting and offset emissions.
Features
- AI-powered dMRV using satellite and computer vision for real-time and historical land usage analysis.
- Methodologies verified through third-party audits for afforestation, reforestation, revegetation (ARR) projects, methane emission reduction in paddy fields, and reduced nitrogen-based fertilizer use.
- Web3-based data management on a blockchain for tamper-proof records and scientific reproducibility.
- Automated CARDAT (Carbon Removal Digital Asset) generation through patent-pending software.
- Carbon insurance to protect assets.
- NFT-based carbon removal assets for transparent trading and carbon accounting.