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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 IBM Maximo Application Suite?

The IBM Maximo® Application Suite is a comprehensive set of tools aimed at efficiently overseeing and handling assets, as well as facilitating predictive maintenance and reliability strategies. With the Maximo Application Suite, organizations are empowered to fully leverage the potential of their enterprise assets via a cohesive, cloud-centric platform that utilizes AI, IoT, and analytics to boost performance, extend asset longevity, and reduce both operational downtime and costs. Users of IBM Maximo gain access to cutting-edge applications tailored for CMMS, EAM, APM, and RCM, all while benefiting from streamlined installation and management processes, which enhance the overall user experience through the integration of consistent data and workflows. The use of AI and analytical tools fosters effective oversight and upkeep of valuable assets, leading to not only improved performance but also longer operational lifespans and reduced expenses and downtime. By implementing automated asset inspections fueled by real-time data and artificial intelligence, organizations can notably upgrade their inspection methods. This all-encompassing suite equips users to tackle the complexities of asset management in the rapidly evolving landscape of contemporary business. Ultimately, the IBM Maximo Application Suite positions organizations to thrive by ensuring their asset management processes are agile, responsive, and efficient in a competitive market.

Media

Media

Integrations Supported

Integrations Supported

Apptricity Travel & Expense
Asset Integrity Hub (AIH)
Causelink
Connect2Assets
CopperTree Analytics Kaizen
Fieldman
IAMTech
IBM Maximo Visual Inspection
Mpower
Omnio
Parsable
Proarc
Sockeye
UpKeep
VEERUM
WorkfloPlus
Xempla
Zaptic

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Senseye

Date Founded

2014

Company Location

United Kingdom

Company Website

senseye.io

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/maximo/asset-management

Categories and Features

Condition Monitoring

Not specified

IoT

Big Data Analytics
Data Management
Device Management
Performance Management
Visualization

Machine Monitoring

Not specified

OEE

Downtime Tracking
Historical Reporting
Real Time Reporting
Trend Analysis
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Work Order Management

Categories and Features

Asset Tracking

Not specified

CMMS

Not specified

Condition Monitoring

Not specified

EAM

Inventory Management
Maintenance Management
Work Order Management

Equipment Maintenance

Not specified

IoT Analytics

Not specified

IT Asset Management

Not specified

Machine Monitoring

Not specified

Smart Grid

Not specified

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