We are building robots that work autonomously in fields, that can distinguish between various types of plants and growth stages, and that can mechanically act on targeted plants. This is made possible by the use of proprietary algorithms in different fields of Artificial Intelligence such as Computer Vision, Autonomous Vehicle Control, and Reinforcement Learning.
"Overall in the U.S., the decline in workers is reducing fruit and vegetable production by 9.5%"
New American Economy
"... efforts have failed to meaningfully address their worker shortfalls."
The Wall Street Journal
"Whatever lure there is from better pay may not be enough to bring in more farm workers"
Pr. Tim Richards, ASU
Farmers of developed countries are facing two conflicting trends. On one hand, consumers are pushing for more organic products. On the other hand, it is becoming increasingly more difficult to find labor for hand weeding. This is making it extremely difficult for farmers to compete with imported products and mass production. Our goal is to solve the labor supply issue in the US agriculture and to reduce the use of pesticides while preserving farming productivity. We believe that autonomous robots are well fitted to solve this problem and that Artificial Intelligence is mature enough to make this dream come true.
We are a team of AI engineers and scientists that graduated from Stanford University and MIT. Our team brings together experience in scientific research at IBM Research, Data Science at Facebook, and hands-on experience at turning data into valuable insights for small and medium-size startups. We came together in early 2016, convinced that artificial intelligence is going to solve some of the most burning issues in agriculture.