Soil organic carbon is the closest thing agriculture has to a single gauge of fertility, water resilience, and biological life. It's a proxy for the life stored underground, and that makes it predictive: it tells you how a field will perform before a failing harvest does. Until now, measuring it meant a manual field trip to extract a sample, dry it, and then ship it to a lab. Seqana replaces the fieldwork with a model: a farmer takes a simple measurement at home, a satellite measures from above, and an algorithm turns the two into a continuous soil health reading that can scale across every field on Earth for a fraction of the cost.

Hand sampling is limited by how many people you can send into fields. Inference isn't. Earth observation imagery keeps getting denser, the models keep getting cheaper, and every customer adds ground data to strengthen a dataset no one else has. Each reading makes the model smarter and more accurate, which makes it more valuable to customers and faster to deploy across six continents of land.

Stefan, Jakob, and Julian came together at LiveEO, monitoring pipelines, railways, and ground movements by satellite. They saw farmland had the same problem as infrastructure - vast, critical, impossible to instrument by hand. They pointed the same earth observation toolkit at fields, while investing in the industry-first work to help regulators set standards that build trust in their models.

Reading soil carbon continuously from orbit changes the decision cycle from reactive to proactive. A farmer can see which choices heal the land and which wear it out; a food company can see which regions are getting stronger; and a lender can tell land that's regenerating from land that's degenerating. Over time, this creates a planetary feedback loop that encourages investing in soil health first, unlocking an era of agriculture that is more productive, more resilient, and more life-supporting.