• EarthOptics

  Participated · Series B · Jan 2023

  EarthOptics leverages advances in soil-sensing technologies, genomics, and data science to deliver predictive insights into chemical, physical, and biological soil properties. It combines lab-based analysis with field-based sensors to give farmers and ranchers actionable recommendations to optimize spending and unlock sustainable farming opportunities. The company completed a strategic merger with Pattern Ag, combining EarthOptics’ proprietary field-based sensing technologies with Pattern Ag’s lab-based analysis to offer comprehensive soil data. Led by CEO Lars Dyrud, EarthOptics operates offices in Raleigh, North Carolina; Emeryville, California; Arlington and Blacksburg, Virginia; Minneapolis, Minnesota; and Fayetteville, Arkansas, and maintains two laboratories in Emeryville and Memphis, Tennessee. The company intends to use new funding to accelerate technological innovation, broaden its geographic reach, and consolidate its position as an authoritative source for soil insights. EarthOptics develops next-generation soil-sensing technologies that combine ground-based sensors, satellites, physical soil samples, machine learning models, and agronomic expertise to deliver detailed soil measurements. The company's platform provides insights to help farmers optimize fertilizer applications, inform tillage decisions, and quantify carbon sequestration. EarthOptics plans to use its latest funding to expand access to its tools and deliver hyper-accurate soil insights. Founded in 2018 and based in Arlington, VA, the company serves growers and ranchers seeking data-driven land-management decisions. The company is led by CEO Lars Dyrud. The article reports a recent financing that will support its growth and product expansion efforts. EarthOptics has developed an imaging suite that uses ground-penetrating radar and electromagnetic induction to produce deep maps of soil physical and chemical composition. Its commercial products, GroundOwl and C-Mapper (C for carbon), reconcile no-contact sensor data with traditional lab samples via machine learning trained on tens of thousands of ground-truth measurements. The hardware can be mounted on ordinary tractors or trucks and pulls readings every few feet, reducing physical sampling from hundreds of samples to dozens. The company’s outputs can be used to create meter-scale treatment maps or to feed variable-depth robotic field machinery such as smart tillers. Management positions the product as a cheaper, faster, and more precise alternative to traditional soil sampling and as foundational data for automated and robotic farming. Financially, EarthOptics raised a $10.3M A round to scale its two existing products and to develop a moisture-mapping product.

No current team members are available.