The startup develops data analysis software that utilizes drones, satellites, and ground truthing to measure carbon sequestration on land. By providing accurate carbon measurements and insights into land management practices, the platform enables landowners to optimize the return on their natural assets and independently verify their climate impact.
Funding
$4.4M 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
Current methods for measuring carbon sequestration and biodiversity net gain (BNG) on land rely on outdated calculations, manual processes, and inefficient estimations, leading to inaccuracies and high costs. This makes it difficult for landowners to maximize revenue from sustainable land management and for businesses to confidently invest in carbon offsetting and BNG initiatives.
Solution
CSX Carbon provides an advanced data analysis platform that empowers landowners and businesses to accurately measure, monitor, and verify carbon sequestration and BNG. The platform integrates data from drones, satellites, and ground truthing to create digital twin records of the land, which are then analyzed using machine learning tools. This approach enables precise carbon and natural capital measurements, facilitating the creation and delivery of BNG units and carbon offsets with a clear, quality-assured audit trail. CSX Carbon connects buyers and sellers through its digital twin land management monitoring systems, ensuring transparency and accountability in achieving net-zero, Climate and Nature Related Financial Disclosure, and BNG targets.
Target Audience
The primary target audience includes landowners and land managers seeking to maximize revenue from BNG units and carbon offsets, as well as businesses aiming to achieve net-zero carbon goals, meet CSRD compliance, and invest in transparent, verified carbon offsetting and BNG initiatives.
Features
- Digital twin creation using drone imagery to capture high-resolution data for detailed land analysis
- Integration of satellite data for broad-scale environmental monitoring
- Terrestrial Laser Scanning (TLS) for non-destructive, ground-based 3D point clouds of object surfaces
- LiDAR technology to capture surface terrain, tree locations, and heights for estimating above-ground biomass
- Machine learning algorithms for woodland aboveground biomass and carbon, and peatland carbon
- Bioacoustic monitoring to assess bird populations as an indicator of improving biodiversity
- Topographic Wetness Index (TWI) and Digital Elevation Models (DEM) to understand water flow and accumulation
- CSRD consulting services to help businesses meet Corporate Sustainability Reporting Directive requirements