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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Harnessing digital transformation enhances the value of your resources and allows for the integration of predictive maintenance (PdM) techniques. By anticipating potential issues, you can avert expensive breakdowns, minimize downtime, and direct your efforts towards future innovations. Our extensive Asset Performance Management (APM) software suite is specifically crafted to address contemporary industrial obstacles by utilizing industrial big data, cloud computing, artificial intelligence, digital twin technology, and augmented reality. With enhanced analytical capabilities, you can eradicate inefficiencies, streamline operations, and boost your bottom line. This cohesive multi-dimensional information framework aggregates data from various origins, providing meaningful context for reporting and dashboard applications. Elevate your plant's performance in near real-time by facilitating detailed analytics in your business intelligence tools centered around industrial data. By connecting your workforce, processes, and technology, you can swiftly implement a risk-based asset management strategy aligned with your organizational goals, ensuring a resilient and adaptable operational framework for the future.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Rayven Yes 
VPVision Yes 

Integrations

Rayven No 
VPVision No 

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 No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook 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 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

AVEVA

Founded

1967

Country

United Kingdom

Website

www.aveva.com/en/solutions/performance/asset-performance-management/

Vendor Details

Company Name

Senseye

Founded

2014

Country

United Kingdom

Website

senseye.io

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 

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