
GeoVisual Analytics creates AI algorithms to assist farmers in reducing production uncertainties. The company's algorithm uses big data analytics and cloud-based computing to conduct routine field monitoring with airplanes, drones, and mobile phones, allowing farmers to improve forecasting, improve and predict crop health, and increase profit through farm automation. In order to maximize profits and reduce the amount of crop left unharvested because it is either too large or too small to meet customer specifications, GeoVisual assists growers in determining the best harvest dates.

GeoVisual Analytics creates AI algorithms to assist farmers in reducing production uncertainties. The company's algorithm uses big data analytics and cloud-based computing to conduct routine field monitoring with airplanes, drones, and mobile phones, allowing farmers to improve forecasting, improve and predict crop health, and increase profit through farm automation. In order to maximize profits and reduce the amount of crop left unharvested because it is either too large or too small to meet customer specifications, GeoVisual assists growers in determining the best harvest dates.
Product: AI and computer-vision analytics for specialty crop monitoring and harvest/operations decisions
Founded: May 2010 (Boulder, Colorado)
Founder / Tech Lead: Dr. Jeffrey Orrey
Team size: Approximately 13 employees
Recent financing: Convertible note round on 2023-10-01
Agriculture technology (AgTech) — specialty fruit and vegetable crop monitoring and farm automation.
2010
AgTech / Geospatial analytics
Latest recorded round per company financial profiles
“Investors reported include SVG Ventures, Rockies Venture Club, 3Lines, and Forbes”