PatternAg

PatternAg operates as a predictive analytics firm in the agricultural technology sector, providing data-driven insights to farmers. The company was founded in 2018 and was incubated at The Production Board, a San Francisco-based investment foundry established by David Friedberg, who also serves as PatternAg's Chairman. Friedberg, an entrepreneur with a background in astrophysics and a history of founding successful tech companies like The Climate Corporation, created The Production Board to build businesses that tackle global challenges in food and agriculture.

The company's core business revolves around its metagenomics platform, which analyzes the DNA of microorganisms in soil samples. This biological analytics service allows for the prediction of crop risks from pests and diseases, as well as nutrient deficiencies, before a growing season begins. PatternAg's primary clients are corn and soybean growers in the Midwestern United States, though it has plans to expand into international markets like Brazil. The business model is service-based; farmers subscribe to the company's analytics service, which involves soil sampling, laboratory analysis, and access to a data dashboard. This service aims to increase farm profitability by enabling precise, evidence-based decisions on inputs such as crop protection products, seed selection, and fertilizers, potentially boosting profits by over $50 per acre.

The key service is a predictive analytics platform that provides farmers with a detailed forecast of agronomic outcomes with up to 90% confidence. By sequencing the DNA from soil, the platform identifies and maps the presence of specific pathogens like Corn Rootworm and Soybean Cyst Nematode, as well as beneficial microbes. This allows farmers to move from reactive, in-season scouting to a proactive management strategy. The company offers several analysis panels, including the "Complete Bio Panel," which detects both soil-borne and above-ground foliar diseases, and a "Bioactivity" panel focused on beneficial microbes and soil health. The results are delivered through a dashboard that provides comprehensive information to help streamline crop management programs.

Keywords: predictive agriculture, soil metagenomics, crop analytics, agtech, soil DNA analysis, farm profitability, precision agriculture, crop protection, seed selection, fertility planning, soil microbiome, corn rootworm, soybean cyst nematode, biological analytics, agricultural data, soil health, nutrient deficiency, pest prediction, disease prediction, data-driven farming