Seqana

Soil is a living system, making its health inherently difficult to measure. Soil organic carbon is dynamic rather than static, and putting a fixed value on it remains a key bottleneck for carbon markets and regenerative agriculture. Traditional lab-based sampling is costly, variable and often leads to conservative carbon crediting, limiting farmer returns. Seqana addresses this by combining satellite data, geostatistics and machine learning to build digital soil maps that explain carbon variability. This enables more accurate, scalable and cost-effective measurement, while giving food companies the soil intelligence needed to manage supply chain resilience and demonstrate regenerative impact.