SeeTree

SeeTree provides a data-driven intelligence platform for tree farming, offering growers granular, per-tree insights to optimize operations. Founded in 2017 by Israel Talpaz, Barak Hachamov, and Guy Morgenstern, the company is headquartered in Tel Aviv, Israel, with a global presence in the USA, Brazil, Mexico, and South Africa. The founding team's expertise is a core asset; CEO Israel Talpaz brings over 30 years of experience from the Israeli defense and intelligence sectors, applying data-driven strategies to agriculture. Barak Hachamov is a serial entrepreneur with a history of successful ventures, while Guy Morgenstern contributes extensive experience in R&D and technology management.

The company's core offering is an end-to-end service that functions as an "Operating System for Trees." It digitizes tree farms by creating a unique digital identity for every tree, enabling precise monitoring of health and productivity. To achieve this, SeeTree employs a multi-layered data collection strategy, utilizing military-grade drones, ground sensors, satellite and aerial imagery, and field scouts. This data is then processed through proprietary artificial intelligence and machine learning algorithms to deliver actionable insights. Farmers access this information through a dashboard that tracks key metrics like tree health, pest and disease presence, and growth rates, allowing for targeted interventions.

SeeTree operates on what appears to be a subscription-based model, providing its intelligence services to large-scale growers, farmers, and forestry companies. By delivering precise analytics, the platform helps clients optimize the use of resources such as water and fertilizers, reduce crop loss, and improve fruit production, which can increase efficiency and profitability. Since its inception, the company has secured significant funding, including a $17.5 million Series C round in January 2024, bringing its total funding to over $60 million. These funds are allocated to expanding into new crop types and key geographical markets.

Keywords: precision agriculture, agritech, per-tree intelligence, farm management, crop monitoring, drone imaging, machine learning in agriculture, orchard management, agricultural analytics, data-driven farming, tree health, pest detection, crop yield optimization, sustainable agriculture, carbon sequestration measurement, IoT sensors in agriculture, remote sensing, agricultural intelligence, forestry management, citrus farming