AMYGDALA is developing a HW/SW platform for the prediction of malfunctions in electrical and electro-mechanic systems.
Our technology is based on collecting real-time data on the monitored system along with its anticipated affecting environmental conditions, and by data fusion using AI..
AMYGDALA predicts malfunctions before they occur which enables predictive maintenance approach.
The Big Data gathered is analyzed by AMYGDALA’s deep learning algorithm for producing critical alerts. This preventive maintenance approach dictates immediate intervention stems from ad-hoc, customizable reports and analytics.
The data acquisition is using non-intrusive sensors to preserve the integrity of monitored critical systems.
