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Best Predictive Maintenance Software - Page 3

Nathan Calabrese
NC
Researched and written by Nathan Calabrese

Predictive maintenance software helps companies proactively identify issues that may have a negative impact on their fixed assets. This type of software uses statistical process control principles to determine the best time to perform maintenance. It can also increase safety and reduce the number of accidents caused by faulty equipment. Predictive maintenance is mostly beneficial to companies from asset-intensive industries such as manufacturing, utilities, oil and gas, and mining. Maintenance managers use this type of software to reduce downtime and optimize asset performance.

This type of software can be delivered as a standalone solution or as a module of enterprise asset management (EAM) software or CMMS software. Predictive maintenance software often integrates with asset performance management software and industrial IoT software.

To qualify for inclusion in the Predictive Maintenance category, a product must:

Process and analyze real-time condition monitoring data
Identify potential issues before they impact asset performance
Define and manage condition-based maintenance plans
Use big data and IoT sensors to detect signs of failure
Provide suggestions for asset performance optimization
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Featured Predictive Maintenance Software At A Glance

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

No filters applied
96 Listings in Predictive Maintenance Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Simeo is a solution that provides tools and features to help you manage condition-based ranking of assets, independent review, asset valuation, and more to help you manage your assets.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Mid-Market
    • 25% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Simeo features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Source Identification
    Average: 7.9
    9.2
    Failure Detection
    Average: 8.0
    8.9
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oxand
    Year Founded
    2002
    HQ Location
    Paris, FR
    Twitter
    @OxandAcademy
    136 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    67 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Simeo is a solution that provides tools and features to help you manage condition-based ranking of assets, independent review, asset valuation, and more to help you manage your assets.

Users
No information available
Industries
No information available
Market Segment
  • 75% Mid-Market
  • 25% Enterprise
Simeo features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
9.2
Source Identification
Average: 7.9
9.2
Failure Detection
Average: 8.0
8.9
Root Cause
Average: 8.1
Seller Details
Seller
Oxand
Year Founded
2002
HQ Location
Paris, FR
Twitter
@OxandAcademy
136 Twitter followers
LinkedIn® Page
www.linkedin.com
67 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    UpKeep Edge enables businesses to monitor the performance of their equipment and machinery in real-time. By placing sensors on the assets that track their operational status, users can detect when a m

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • UpKeep Edge Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Real-time Monitoring
    2
    Analytics
    1
    Customer Assistance
    1
    Dashboards
    1
    Intuitive
    1
    Cons
    Difficult Setup
    1
    Integration Issues
    1
    Mobile Functionality
    1
    Poor Usability
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • UpKeep Edge features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Source Identification
    Average: 7.9
    8.3
    Failure Detection
    Average: 8.0
    9.2
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    UpKeep
    Year Founded
    2014
    HQ Location
    Los Angeles, CA
    Twitter
    @OnUpKeep
    4,581 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    162 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

UpKeep Edge enables businesses to monitor the performance of their equipment and machinery in real-time. By placing sensors on the assets that track their operational status, users can detect when a m

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
UpKeep Edge Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Real-time Monitoring
2
Analytics
1
Customer Assistance
1
Dashboards
1
Intuitive
1
Cons
Difficult Setup
1
Integration Issues
1
Mobile Functionality
1
Poor Usability
1
Slow Performance
1
UpKeep Edge features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Source Identification
Average: 7.9
8.3
Failure Detection
Average: 8.0
9.2
Root Cause
Average: 8.1
Seller Details
Seller
UpKeep
Year Founded
2014
HQ Location
Los Angeles, CA
Twitter
@OnUpKeep
4,581 Twitter followers
LinkedIn® Page
www.linkedin.com
162 employees on LinkedIn®
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    About XMPro iBOS (Intelligent Business Operations Suite) XMPro iBOS is the world’s only AI-powered suite of tools and frameworks specifically designed to empower industrial companies to rapidly compo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • XMPro Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Features
    4
    Customer Support
    3
    Easy Implementation
    3
    Features Detail
    3
    Cons
    Expensive
    2
    Performance Issues
    2
    Time-Consuming
    2
    Complex Setup
    1
    Data Management Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • XMPro features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.0
    3.3
    Source Identification
    Average: 7.9
    3.3
    Failure Detection
    Average: 8.0
    8.3
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    XMPro
    Year Founded
    2009
    HQ Location
    Dallas, TX
    Twitter
    @xmpro
    375 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    49 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

About XMPro iBOS (Intelligent Business Operations Suite) XMPro iBOS is the world’s only AI-powered suite of tools and frameworks specifically designed to empower industrial companies to rapidly compo

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 36% Mid-Market
XMPro Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Features
4
Customer Support
3
Easy Implementation
3
Features Detail
3
Cons
Expensive
2
Performance Issues
2
Time-Consuming
2
Complex Setup
1
Data Management Issues
1
XMPro features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.0
3.3
Source Identification
Average: 7.9
3.3
Failure Detection
Average: 8.0
8.3
Root Cause
Average: 8.1
Seller Details
Seller
XMPro
Year Founded
2009
HQ Location
Dallas, TX
Twitter
@xmpro
375 Twitter followers
LinkedIn® Page
www.linkedin.com
49 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Boon Logic’s Amber—an AI-based predictive maintenance and condition monitoring solution—can be trained and deployed in hours instead of months or years. That’s because Amber doesn’t require highly ski

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amber Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    1
    Cons
    Update Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amber features and usability ratings that predict user satisfaction
    0.0
    No information available
    5.0
    Source Identification
    Average: 7.9
    6.7
    Failure Detection
    Average: 8.0
    6.7
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    Minneapolis, US
    Twitter
    @Boon_Logic
    29 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Boon Logic’s Amber—an AI-based predictive maintenance and condition monitoring solution—can be trained and deployed in hours instead of months or years. That’s because Amber doesn’t require highly ski

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Enterprise
Amber Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
1
Cons
Update Issues
1
Amber features and usability ratings that predict user satisfaction
0.0
No information available
5.0
Source Identification
Average: 7.9
6.7
Failure Detection
Average: 8.0
6.7
Root Cause
Average: 8.1
Seller Details
Year Founded
2018
HQ Location
Minneapolis, US
Twitter
@Boon_Logic
29 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AssetWatch - Your Turnkey Partner in Predictive Maintenance Manufacturing facilities worldwide face common challenges: stressed equipment, unplanned downtime, strained personnel, managing multiple

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AssetWatch features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    LinkedIn® Page
    www.linkedin.com
Product Description
How are these determined?Information
This description is provided by the seller.

AssetWatch - Your Turnkey Partner in Predictive Maintenance Manufacturing facilities worldwide face common challenges: stressed equipment, unplanned downtime, strained personnel, managing multiple

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
AssetWatch features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Company Website
LinkedIn® Page
www.linkedin.com
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Augury provides AI-driven insights into machines, processes, and operations so manufacturers and industry can improve business outcomes, empower their workforce, and achieve sustainable production- al

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Augury features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.2
    Source Identification
    Average: 7.9
    9.2
    Failure Detection
    Average: 8.0
    8.3
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    New York, New York, United States
    Twitter
    @augurysys
    803 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    386 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Augury provides AI-driven insights into machines, processes, and operations so manufacturers and industry can improve business outcomes, empower their workforce, and achieve sustainable production- al

Users
No information available
Industries
No information available
Market Segment
  • 33% Mid-Market
  • 33% Enterprise
Augury features and usability ratings that predict user satisfaction
0.0
No information available
9.2
Source Identification
Average: 7.9
9.2
Failure Detection
Average: 8.0
8.3
Root Cause
Average: 8.1
Seller Details
Year Founded
2011
HQ Location
New York, New York, United States
Twitter
@augurysys
803 Twitter followers
LinkedIn® Page
www.linkedin.com
386 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Use machine learning algorithms integrated with business processes to prioritize equipment maintenance and maximize uptime

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • C3 Predictive Maintenance features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Source Identification
    Average: 7.9
    10.0
    Failure Detection
    Average: 8.0
    10.0
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    C3.ai
    Year Founded
    2009
    HQ Location
    Redwood City, CA
    Twitter
    @C3IoT
    77 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,406 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Use machine learning algorithms integrated with business processes to prioritize equipment maintenance and maximize uptime

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
C3 Predictive Maintenance features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Source Identification
Average: 7.9
10.0
Failure Detection
Average: 8.0
10.0
Root Cause
Average: 8.1
Seller Details
Seller
C3.ai
Year Founded
2009
HQ Location
Redwood City, CA
Twitter
@C3IoT
77 Twitter followers
LinkedIn® Page
www.linkedin.com
1,406 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    EPM is the leading preventive maintenance FileMaker solution.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Easy Preventive Maintenance features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1983
    HQ Location
    Tuckerton, US
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

EPM is the leading preventive maintenance FileMaker solution.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Easy Preventive Maintenance features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
1983
HQ Location
Tuckerton, US
LinkedIn® Page
www.linkedin.com
2 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tower Preventive and Corrective Maintenance management solution

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • iMaintain features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Source Identification
    Average: 7.9
    8.3
    Failure Detection
    Average: 8.0
    10.0
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    New Delhi, IN
    Twitter
    @InfozechS
    123 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    235 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tower Preventive and Corrective Maintenance management solution

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Small-Business
iMaintain features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Source Identification
Average: 7.9
8.3
Failure Detection
Average: 8.0
10.0
Root Cause
Average: 8.1
Seller Details
Year Founded
1999
HQ Location
New Delhi, IN
Twitter
@InfozechS
123 Twitter followers
LinkedIn® Page
www.linkedin.com
235 employees on LinkedIn®
Entry Level Price:Starting at $600.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MOVUS offers an industry-leading, 24/7 equipment condition monitoring solution. No complex contracts or significant outlay - just one low price per month, per sensor. Our FitMachine sensors can be

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MOVUS Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Dashboards
    1
    Ease of Use
    1
    Real-time Monitoring
    1
    Cons
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MOVUS features and usability ratings that predict user satisfaction
    0.0
    No information available
    6.7
    Source Identification
    Average: 7.9
    6.7
    Failure Detection
    Average: 8.0
    6.7
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MOVUS
    Year Founded
    2015
    HQ Location
    Milton, AU
    LinkedIn® Page
    www.linkedin.com
    30 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MOVUS offers an industry-leading, 24/7 equipment condition monitoring solution. No complex contracts or significant outlay - just one low price per month, per sensor. Our FitMachine sensors can be

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
MOVUS Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Dashboards
1
Ease of Use
1
Real-time Monitoring
1
Cons
Limited Features
1
MOVUS features and usability ratings that predict user satisfaction
0.0
No information available
6.7
Source Identification
Average: 7.9
6.7
Failure Detection
Average: 8.0
6.7
Root Cause
Average: 8.1
Seller Details
Seller
MOVUS
Year Founded
2015
HQ Location
Milton, AU
LinkedIn® Page
www.linkedin.com
30 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAIM (Smart Asset Integrity Management) is a modern, cloud-based platform that empowers infrastructure and operations teams to manage facilities, assets, and field data with greater visibility, accoun

    Users
    No information available
    Industries
    • Airlines/Aviation
    Market Segment
    • 60% Small-Business
    • 35% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • SAIM is a product that provides backend support and user-friendly features, designed to centralize data, track progress, manage asset integrity, and facilitate efficient operations.
    • Reviewers frequently mention the product's ability to keep maintenance records paperless, its user-friendly nature, the personalized support provided by the team, and its role in improving workflow and efficiency.
    • Users mentioned challenges in securing external buy-in due to the product's relative novelty, the need for multiple clicks and browsing to locate information, and issues with task filtering and inventory displays.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAIM Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    12
    Data Management
    8
    Efficiency
    8
    Customer Support
    7
    Task Management
    7
    Cons
    Missing Features
    3
    Inadequate Reporting
    2
    Inefficiency
    2
    Limited Filtering
    2
    Poor User Experience
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAIM features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Source Identification
    Average: 7.9
    8.3
    Failure Detection
    Average: 8.0
    8.3
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAIM
    Year Founded
    2019
    HQ Location
    Overland Park, US
    LinkedIn® Page
    www.linkedin.com
    20 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SAIM (Smart Asset Integrity Management) is a modern, cloud-based platform that empowers infrastructure and operations teams to manage facilities, assets, and field data with greater visibility, accoun

Users
No information available
Industries
  • Airlines/Aviation
Market Segment
  • 60% Small-Business
  • 35% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • SAIM is a product that provides backend support and user-friendly features, designed to centralize data, track progress, manage asset integrity, and facilitate efficient operations.
  • Reviewers frequently mention the product's ability to keep maintenance records paperless, its user-friendly nature, the personalized support provided by the team, and its role in improving workflow and efficiency.
  • Users mentioned challenges in securing external buy-in due to the product's relative novelty, the need for multiple clicks and browsing to locate information, and issues with task filtering and inventory displays.
SAIM Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
12
Data Management
8
Efficiency
8
Customer Support
7
Task Management
7
Cons
Missing Features
3
Inadequate Reporting
2
Inefficiency
2
Limited Filtering
2
Poor User Experience
2
SAIM features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 9.0
8.3
Source Identification
Average: 7.9
8.3
Failure Detection
Average: 8.0
8.3
Root Cause
Average: 8.1
Seller Details
Seller
SAIM
Year Founded
2019
HQ Location
Overland Park, US
LinkedIn® Page
www.linkedin.com
20 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Meet TAG Mobi – AI-Powered EAM & CMMS for Asset-Intensive Operations TAG Mobi is an AI-powered EAM and CMMS that helps asset-intensive organizations prevent downtime and extend asset lifecycles

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • The Asset Guardian features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2001
    HQ Location
    Laval, Qc
    Twitter
    @TheTAG_Software
    283 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    44 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Meet TAG Mobi – AI-Powered EAM & CMMS for Asset-Intensive Operations TAG Mobi is an AI-powered EAM and CMMS that helps asset-intensive organizations prevent downtime and extend asset lifecycles

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 40% Small-Business
The Asset Guardian features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2001
HQ Location
Laval, Qc
Twitter
@TheTAG_Software
283 Twitter followers
LinkedIn® Page
www.linkedin.com
44 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aspen Mtell delivers the earliest, most accurate warning of asset failures and unplanned downtime using failure agents that autonomously detect patterns in data.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Aspen Mtell Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Asset Management
    1
    Communication
    1
    Cons
    Feature Limitations
    1
    Limited Features
    1
    Poor Reporting
    1
    Process Improvement
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aspen Mtell features and usability ratings that predict user satisfaction
    0.0
    No information available
    5.0
    Source Identification
    Average: 7.9
    8.3
    Failure Detection
    Average: 8.0
    6.7
    Root Cause
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1981
    HQ Location
    Bedford, MA
    Twitter
    @AspenTech
    4,769 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,123 employees on LinkedIn®
    Ownership
    NASDAQ: AZPN
Product Description
How are these determined?Information
This description is provided by the seller.

Aspen Mtell delivers the earliest, most accurate warning of asset failures and unplanned downtime using failure agents that autonomously detect patterns in data.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Aspen Mtell Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Asset Management
1
Communication
1
Cons
Feature Limitations
1
Limited Features
1
Poor Reporting
1
Process Improvement
1
Aspen Mtell features and usability ratings that predict user satisfaction
0.0
No information available
5.0
Source Identification
Average: 7.9
8.3
Failure Detection
Average: 8.0
6.7
Root Cause
Average: 8.1
Seller Details
Year Founded
1981
HQ Location
Bedford, MA
Twitter
@AspenTech
4,769 Twitter followers
LinkedIn® Page
www.linkedin.com
4,123 employees on LinkedIn®
Ownership
NASDAQ: AZPN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Petasense Asset Reliability & Optimization (ARO) Cloud is highly scalable and fault tolerant. The cloud processes high volume of sensor data using signal processing and ML analytics. It runs on th

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Asset Reliability & Optimization (ARO) Cloud features and usability ratings that predict user satisfaction
    0.0
    No information available
    6.7
    Source Identification
    Average: 7.9
    10.0
    Failure Detection
    Average: 8.0
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Petasense
    Year Founded
    2014
    HQ Location
    San Jose, US
    Twitter
    @Petasense
    291 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Petasense Asset Reliability & Optimization (ARO) Cloud is highly scalable and fault tolerant. The cloud processes high volume of sensor data using signal processing and ML analytics. It runs on th

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Asset Reliability & Optimization (ARO) Cloud features and usability ratings that predict user satisfaction
0.0
No information available
6.7
Source Identification
Average: 7.9
10.0
Failure Detection
Average: 8.0
0.0
No information available
Seller Details
Seller
Petasense
Year Founded
2014
HQ Location
San Jose, US
Twitter
@Petasense
291 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Clue Insights is a construction equipment management platform that centralizes fleet data for heavy civil contractors, earthmoving fleets, utilities, and infrastructure companies. It brings informatio

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clue Insights Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    User Interface
    2
    Analytics
    1
    Customer Assistance
    1
    Customer Support
    1
    Cons
    Data Management
    1
    Difficult Customization
    1
    Limited Customization
    1
    Mapping Issues
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clue Insights features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    10.0
    Failure Detection
    Average: 8.0
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2019
    HQ Location
    Los Angeles, US
    LinkedIn® Page
    www.linkedin.com
    22 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clue Insights is a construction equipment management platform that centralizes fleet data for heavy civil contractors, earthmoving fleets, utilities, and infrastructure companies. It brings informatio

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Enterprise
Clue Insights Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
User Interface
2
Analytics
1
Customer Assistance
1
Customer Support
1
Cons
Data Management
1
Difficult Customization
1
Limited Customization
1
Mapping Issues
1
Missing Features
1
Clue Insights features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
10.0
Failure Detection
Average: 8.0
0.0
No information available
Seller Details
Company Website
Year Founded
2019
HQ Location
Los Angeles, US
LinkedIn® Page
www.linkedin.com
22 employees on LinkedIn®