Boomitra utilizes AI and satellite technology to measure, report, and verify soil carbon levels up to 30cm deep, enabling farmers and ranchers to generate internationally certified carbon removal credits without physical soil sampling. This approach addresses soil degradation and climate change by facilitating carbon sequestration while providing farmers with a new revenue stream to reinvest in their operations.
Funding
$11M 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.
CBFounders
Product
Problem
Conventional methods of measuring and verifying soil carbon levels rely on physical soil sampling, which is costly, time-consuming, and difficult to scale, hindering efforts to incentivize carbon sequestration in agriculture. Soil degradation and the release of carbon into the atmosphere contribute significantly to climate change, requiring effective and scalable solutions for carbon removal.
Solution
Boomitra provides an AI-powered, remote sensing platform that enables farmers and ranchers to generate internationally certified carbon removal credits without the need for physical soil sampling. The platform uses satellite imagery and proprietary AI algorithms to measure, report, and verify soil carbon levels up to 30cm deep. By partnering with local organizations, Boomitra incentivizes regenerative agriculture practices that increase soil carbon sequestration and improve land productivity. The majority of revenue generated from carbon credit sales is returned to the farmers, providing them with an additional income stream to reinvest in their operations and communities. This approach makes carbon finance accessible to landowners of all sizes, from smallholder farms to large ranches.
Target Audience
Boomitra's primary customers include farmers, ranchers, and landowners seeking to generate revenue from carbon credits, as well as project partners and carbon credit buyers looking to invest in verified carbon removal projects.
Features
- Remote measurement of soil organic carbon, soil moisture, and plant health using 100+ multispectral satellites
- Proprietary AI and deep learning models for accurate soil carbon predictions
- Third-party certification of carbon credits against international standards for nature-based carbon removal
- Farmer-first revenue model that directs the majority of carbon credit revenue to farmers and ranchers
- Support for regenerative agriculture practices, including rotational grazing, cover crops, reduced tilling, and organic manure application
- Project monitoring and reporting to track carbon sequestration and environmental impact
- Digital agronomic tools to help farmers optimize carbon sequestration and grassland productivity