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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

Our AI and IoT (AIoT) solutions empower clients to make informed business decisions by leveraging real-time data on the usage of their onsite equipment, which in turn enhances their capacity to improve customer service, logistics, and sales opportunities. By monitoring onsite temperature and performance in real-time, businesses can anticipate potential failures in refrigerators, vaccines, tests, and medications, thereby improving reliability. This technology allows for continuous performance tracking of machinery, enabling the delivery of value-added services while gaining insights into product usage. By adopting a proactive approach, companies can enhance customer satisfaction and provide valuable insights that promote optimal operational efficiency. Furthermore, it helps optimize compliance for in-store appliances and machinery while minimizing both inventory and maintenance expenses. In the food and beverage industry, chain stores manage thousands of locations, each equipped with multiple appliances, yet often lack the capability to effectively monitor and track the usage of these devices, which can lead to inefficiencies. Ultimately, implementing AIoT technology can transform the way businesses operate, fostering a culture of continuous improvement and greater accountability in appliance management.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

SAP Store No 

Integrations

SAP Store Yes 

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

Vendor Details

Company Name

Senseye

Founded

2014

Country

United Kingdom

Website

senseye.io

Vendor Details

Company Name

YOUTILIGENT

Founded

2018

Country

Israel

Website

www.youtiligent.com

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

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

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