Canopy’s AI uses historical data to learn how your machines function under all operating conditions. They are deployed in various industries, helping to detect failures ahead of time, reduce machine downtime and increase performance. Canopy learns what normal behaviour is and can extrapolate what abnormal is. We don’t train for specific failure types. If the abnormality is in your data, Canopy will find it, no matter the cause.
Jungle uses artificial intelligence to predict component failure, and poor performance in an advanced asset management software.