MèreMer uses satellite remote‑sensing and AI to produce repeatable, science‑based measurements of carbon sequestration and ecosystem health. Their platform delivers standardized metrics and ratings that give climate project developers, carbon‑credit issuers, and investors a trusted data source for reporting, risk assessment, and trading of verifiable carbon credits.
Funding
Funding not disclosed
Founders
Product
Problem
There is a growing mismatch between the demand for carbon credits and the limited supply of high‑quality, verifiable credits, because many environmental projects lack consistent, science‑based measurement and monitoring data.
Solution
MèreMer applies satellite remote‑sensing combined with artificial‑intelligence analytics to generate repeatable, quantitative measurements of carbon sequestration and ecosystem health. Their platform produces standardized metrics and ratings that translate ecological outcomes into trusted data for financial markets. By integrating earth‑observation data, change‑detection algorithms, and carbon‑calculation models, the company creates a single source of truth for both project developers and credit buyers. The resulting data model supports transparent reporting, risk assessment, and compliance with frameworks such as the Taskforce on Nature‑Related Financial Disclosures. Partnerships with the European Space Agency and contributions to the Open‑Source Sustainable Finance Taxonomy further ensure the credibility and interoperability of their metrics.
Target Audience
Primary customers are climate‑focused project developers, carbon‑credit issuers, and financial institutions or investors that require verifiable, science‑based data to assess and trade carbon credits.
Features
- Satellite‑derived remote‑sensing data covering diverse habitats, processed with AI to quantify carbon storage and biodiversity indicators
- Automated change‑detection and monitoring pipelines that deliver continuous, repeatable measurements over project lifecycles
- Proprietary carbon‑calculation and ecosystem‑impact models that generate standardized ratings for climate‑positive projects
- Integration with TNFD reporting standards to provide nature‑related financial risk metrics for investors and institutions
- Collaboration with the European Space Agency for access to high‑resolution earth observation assets and expertise
- Participation in the Open‑Source Sustainable Finance Taxonomy to align metrics with emerging global finance data models