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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
CMMS stands for Computerized Maintenance Management System, while CMS refers to a Condition Monitoring System. The primary roles of a CMMS include documenting comprehensive maintenance activities based on actual data, offering a powerful means to lower maintenance expenses, and enhancing both productivity and profitability. The insights generated from the system serve as a valuable resource for decision-makers. It is crucial to implement a well-designed and tailored CMMS to achieve these objectives. This system helps pinpoint areas where maintenance is genuinely required, streamlines the organization of preventive and predictive maintenance tasks, and oversees diagnostic procedures. It also enables the planning of maintenance activities and budgetary considerations based on observed trends. Furthermore, it facilitates the optimization, monitoring, and tracking of available resources alongside maintenance personnel performance. Consequently, through effective management of maintenance, organizations can significantly boost machinery reliability while reducing the likelihood of production interruptions. Ultimately, investing in a robust CMMS can lead to sustained operational excellence and enhanced overall efficiency.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Senseye
Founded
2014
Country
United Kingdom
Website
senseye.io
Vendor Details
Company Name
iC Group
Country
Hungary
Website
www.intellicmms.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
OEE
Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Product Features
CMMS
Asset Tracking
Calibration Management
Inventory Control
Key & Lock Management
Mobile Access
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management