Senseye PdM Reviews & Product Details

The advanced anomaly detection with the help of AI incorporated in Senseye PdM has benefitted our programme of predictive maintenance. It includes aspects of analyzing problems that may occur in our equipment before they result to a breakdown. Review collected by and hosted on G2.com.

I require a level of flexibility so that I can map the data visualization to what we require and look at trend analysis from different equipment types. This limits the flexibility inherent in the platform, which is essential when searching for the smallest details in the statistics. Review collected by and hosted on G2.com.

Senseye PdM provided real-time health information for our use in the program’s predictive maintenance component. Looking at this aspect, one can identify probabilities of equipment failure hence arranging for their repair in advance. Review collected by and hosted on G2.com.

I have noticed that it a bit difficult to tweak some them for our used machinery. Special aspects of specific equipment, for example, have their own working processes, and the existing degree of individualization seems insufficient. Review collected by and hosted on G2.com.

Senseye PdM is the premier AI-powered Predictive Maintenance solution, providing a simple method to extend PdM across thousands of units across several sites.

Worldwide alliance network for project support of all sizes

Open APIs enable simple integration of critical systems such as SAP, OSI Pi, and many others

Senseye ROI Lock® Pathway to driving digital transformation throughout your firm provides a guaranteed return on investment. Review collected by and hosted on G2.com.

Each asset on-boarded to the system goes through a 120-hour learning phase. During this period, the system learns the 'typical' operating levels (vibration and current) for each asset. However, if an asset is in bad condition when the system is implemented, the system learns that the low state is usual. Review collected by and hosted on G2.com.