The agricultural industry loses more than $220 billion dollars in crop damage each year – all because of insects. It’s time for this to change.

For decades, farmers have been stuck with few options for pest management. Most use sticky traps – a time consuming and inaccurate method -followed by a broadcast spray of selected pesticides and insecticides. Unfortunately, these treatments can also affect beneficial bugs we rely on to pollinate more than 70% of the global crop supply. 

There is a better way. Using computational entomological models, we’ve created a real-time sensor that can help farmers make better decisions for pest management, saving time and potentially boosting crop yield. 

We believe that when we leverage the power of machine learning and computational modeling, we can help save lives, reduce hunger and help developing countries achieve food independence.

We take the uncertainty out of pest management for better farming and a brighter future.