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What is Senseye PdM?

Senseye PdM utilizes cutting-edge proprietary machine learning approaches to predict asset failures before they happen. By continuously assessing the operational performance of machinery, Senseye is able to provide precise forecasts on when maintenance should be conducted. This capability enables maintenance teams to focus their resources on the most critical assets needing immediate attention. With a straightforward implementation process, organizations can lower their maintenance costs while improving the accuracy of their downtime forecasts. Built with scalability in mind, Senseye PdM can support any number of connected devices, regardless of size. The automated condition monitoring delivers insights that spotlight only the most crucial data. Users are informed about the expected operational lifespan of their machinery prior to the need for maintenance. Moreover, the platform facilitates the analysis of thousands of assets, offering clear and continuous updates on which machines require intervention. In addition to minimizing machine downtime, Senseye empowers industrial companies to enhance their operational efficiency and overall productivity. Thus, through its innovative approach, Senseye PdM not only optimizes maintenance strategies but also supports long-term asset management goals.

What is AVEVA Asset Performance Management?

Digital transformation unlocks the complete capabilities of your assets while facilitating the efficient application of predictive maintenance (PdM) strategies. By foreseeing future demands, you can prevent costly breakdowns, reduce downtime, and focus on upcoming advancements. Our comprehensive Asset Performance Management (APM) software suite is designed to address contemporary industrial challenges by leveraging industrial big data, cloud solutions, artificial intelligence, digital twins, and augmented reality. Improved analytics contribute to the elimination of inefficiencies, the optimization of operations, and enhanced profitability. A holistic multi-dimensional information model consolidates data from diverse sources, providing context for reporting and visualization tools. This allows for near real-time enhancements in plant performance through sophisticated analytics integrated within your business intelligence (BI) systems that utilize industrial data. Additionally, by integrating your workforce, processes, and technology, you can rapidly adopt a risk-based asset strategy that aligns with your organizational objectives, promoting enduring sustainability and growth. By embracing these technological advancements, you position your organization not only to tackle the challenges of today but also to flourish in the evolving landscape of tomorrow's industry. This proactive approach sets the stage for innovation and resilience in an increasingly competitive market.

Media

Media

Integrations Supported

Rayven
VPVision

Integrations Supported

Rayven
VPVision

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Senseye

Date Founded

2014

Company Location

United Kingdom

Company Website

senseye.io

Company Facts

Organization Name

AVEVA

Date Founded

1967

Company Location

United Kingdom

Company Website

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

Categories and 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

Categories and Features

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