Perennial is a measurement, reporting, and verification platform that utilizes digital soil mapping, machine learning algorithms, and a vast database of soil samples to accurately assess soil organic carbon levels with over 98% accuracy while reducing the need for extensive soil sampling. The platform addresses the challenges of high costs and limited regional applicability in traditional soil carbon measurement methods, enabling global access to reliable soil health data.
Funding
$24M 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.
BTHFounders
Product
Problem
Traditional methods of measuring soil organic carbon (SOC) are expensive, require extensive soil sampling, and often lack regional applicability, hindering global access to reliable soil health data. Existing biogeochemical models are not calibrated or validated for diverse agricultural contexts, crop types, or regions.
Solution
Perennial offers a measurement, reporting, and verification (MRV) platform that leverages digital soil mapping, machine learning algorithms, and a large database of soil samples to accurately assess SOC levels. The platform reduces the need for extensive soil sampling while providing global access to reliable soil health data. Perennial's technology overcomes the limitations of cost, domain, and scale associated with traditional methods and does not require pre-validation for international use.
Target Audience
Perennial's primary customers include project developers and organizations within the food supply chain seeking to improve the reach, accuracy, and cost-effectiveness of their soil measurements.
Features
- Digital soil mapping approach combining physical soil samples, machine learning, and biophysical predictors.
- SOC measurements with reported accuracy of 98%+ and uncertainty of <10% while using 30-50% fewer soil samples.
- Baseline measurements with 95% accuracy at the portfolio level and 80% accuracy at the field level, without requiring soil sampling or farmer data collection.
- Global coverage across row crops, permanent crops, grasslands, and rangelands.
- ATLAS-SOC carbon stock basemap, SOCSPOT sequestration potential map, and SMHI soil health indicators.