By building Amazon warehouse logistics for the farm.
Bovi's autonomy platform works with people to get the job done. We adapt existing tools, machinery and practices to provide new labor savings without throwing out the old.
As food insecurity around the world increases the labor available to manage farmland is plummeting. Unless bold actions are taken, the end of our local farmer will spell disaster for worldwide access to sustainable healthy produce. Bovi's platform lowers costs while maximizing available harvest labor.
Bovi partners with established equipment manufacturers to turn tractors and other harvest equipment into labor saving machines. We target labor efficiency during harvest season, when a majority of the labor is needed. Bovi's platform is robust, reliable and uses technology that is available now, not ten years from now.
Lucas Buckland has a deep background in autonomy, on drones, self driving cars, and industrial vehicles. He started his career building drones to scan wreckage for disaster survivors. After moving into self-driving vehicles, he developed a novel approach to perception to aid escapees in coal mine disasters, furthering disaster relief research. He then led the development of "DriveKit," a production drive-by-wire system for the Kia Soul (EV, hybrid and standard). DriveKit is still deployed widely as a cost effective, easy to install, alternative for controlling autonomous vehicles. Prior to starting Bovi he co-founded Designated Driver, which provides Teleoperations for self driving cars. He received a BSc in Computer Engineering with honors and a MSc in Control Systems and Scientific Computation, from UC Santa Barbara.
Connor Buckland has a deep background in robotics, in the manufacturing, construction, and food industries. First at Symbio Robotics, he made existing robotic arms highly dexterous in order to handle large-scale automotive part variation. He also wrote robust software that is deployed on assembly lines at Ford, Nissan and Toyota, generating millions in revenue, and he led the development for Toyota. He then transitioned to Built Robotics, where he implemented centimeter-level control of a 36-ton excavator’s arm. His improvements to the excavator’s AI are currently used to autonomously dig foundations across the country. Most recently, at Chef Robotics, he applied robotics to food assembly lines to substantially cut costs. His software and gripper designs are currently being deployed at a major meals manufacturer. He received a BSc with high honors, in Computer Engineering, from UC Santa Barbara.
Jagadish Mahendran is a Principal AI and Perception Engineer with a background in deep learning, computer vision and robotics. With industrial experience gained from multiple start-ups and big companies, he has developed and managed perception and AI solutions for various kinds of robots including inventory robots and kitchen robots. His interest lies in developing first-of-its-kind products that are disruptive and beneficial to mankind. Jagadish has won multiple international AI competitions such as OpenCV Spatial AI competition and Animal AI Olympics. He is an inventor on various AI and robotics patents, research articles and a regular reviewer of AI research articles. His focus is on creating AI solutions that can impact humanity in a meaningful way, and also to create awareness on AI. He has also developed an award-winning open sourced AI based visual assistance system for the blind for their safe navigation in the surroundings. At Bovi, he is focused on creating transformative perception & AI solutions that can help farmers by increasing agricultural efficiency and reducing cost.
CEO / Founder, OpenClovis
Founding Co-CTO, SVP, Fibex (acquired by Cisco)
Manager, Greene and Hemly Inc.
California Pear Advisory Board
Rankin Equipment Company
Northstar Attachments LLC
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