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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Senseye PdM employs advanced proprietary machine learning techniques to anticipate potential asset failures before they occur. By automatically evaluating the performance of your machinery, Senseye can accurately forecast when maintenance should be performed. This allows maintenance teams to prioritize their efforts on the assets that require the most urgent care. With an easy-to-implement solution, organizations can reduce maintenance expenses while enhancing the accuracy of downtime predictions. Designed for scalability, Senseye PdM can accommodate any number of connected machines, whether large or small. The automated condition monitoring provides insights that emphasize only the most pertinent information. Users gain an understanding of how long their machinery is expected to operate before maintenance is necessary. The platform allows for the seamless analysis of tens of thousands of assets, providing a clear and ongoing indication of which machines need attention. Furthermore, Senseye ensures that industrial companies experience significant reductions in machine downtime, ultimately leading to enhanced operational efficiency and productivity.

Description

A comprehensive solution for monitoring and predictive analysis can enhance equipment condition tracking and streamline maintenance and repair processes. This involves utilizing predictive analysis to ensure production process quality and assess potential risks of exceeding maximum permissible loads through detailed unit operation evaluations. By implementing predictive analysis of unit conditions, emergency shutdowns can be effectively minimized. Furthermore, evaluating the quality of repair work by comparing equipment performance before and after servicing is critical for continuous improvement. The integration of automatic controls for manual repair and maintenance tasks enables efficiency and accuracy in operations. Additionally, predictive analysis aids in strategic maintenance and repair decisions while facilitating informed purchases of new equipment based on intelligent load balancing of current assets. Spare parts and consumables can also be optimized through intelligent failure predictions, reinforcing a proactive approach to equipment management. Overall, this solution supports a robust framework for enhancing operational reliability and efficiency.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Senseye

Founded

2014

Country

United Kingdom

Website

senseye.io

Vendor Details

Company Name

Ctrl2GO Global

Country

Russia

Website

ctrl2go.solutions/en/solutions/smart-maintenance/

Product Features

IoT

Application Development No 
Big Data Analytics Yes 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management Yes 
Device Management Yes 
Performance Management Yes 
Prototyping No 
Visualization Yes 

OEE

Benchmarking No 
Cost Tracking No 
Downtime Tracking Yes 
Historical Reporting Yes 
Performance Metrics No 
Quality Control No 
Real Time Reporting Yes 
Root Cause Analysis No 
Trend Analysis Yes 
Work Order Management Yes 

Preventive Maintenance

Condition Monitoring Yes 
Inspection Management Yes 
Maintenance Scheduling Yes 
Mobile Access Yes 
Predictive Maintenance Yes 
Purchasing Yes 
Reminders Yes 
To-Do List Yes 
Vendor Management No 
Work Order Management Yes 

Product Features

EAM

CMMS No 
Energy Management No 
Equipment Management No 
Facility Management No 
IT Asset Management No 
Inventory Management No 
Maintenance Management No 
Parts Management No 
Preventive Maintenance Scheduling No 
Software License Management No 
Warranty Management No 
Work Order Management No 

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management No 

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