Driverless AI at Your Fingertips

Alexis mGraph from Alexis Networks is used to build, run, and maintain reliable manufacturing machines, the condition of their components has to be continuously monitored. When following a fine-grained monitoring of these machines, challenges emerge pertaining to the: 
(1) feeding procedure of large amounts of sensor data to downstream processing components and the;
(2) meaningful analysis of the produced data. 

Alexis mGraph has been used for two analyses of real-world datasets that were generated in production settings: 

(1) to detect sensor data anomalies for further analyses of a pharma packaging scenario and;

(2) to predict unfavorable temperature values of a 3D printing machine environment.

Based on the results of the analyses, Alexis mGraph has shown that a proper management of machines and their components in industrial manufacturing environments can be efficiently supported by the detection of anomalies. This also helps to support the technical evangelists of the production companies more properly. 
 

Alexis Lens is a tool that assists non-technical employees with minimal data management, calibrating parameters and determining the optimal ensemble of neural networks for tackling specific business problem, identifying Anomalies with a Platform for Visualizing Anomalies and API for Integration.