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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.

What is FLiQ?

The Fliq Platform combines state-of-the-art data visualization, intuitive tools, artificial intelligence, and premium wireless IoT solutions into one easy-to-use interface. Developed in collaboration with leading global companies, it has garnered exceptional feedback for its user-friendly design. This innovative platform tackles prevalent issues that typically create bottlenecks and inefficiencies within manufacturing settings. To boost productivity, it is crucial to enhance visibility in production processes and promote effective data sharing and communication among team members. With the Fliq Platform, users can easily provide real-time updates on machine conditions, production workflows, queues, and other essential resources. This ability to manage live data is vital for evolving from a reactive stance to a proactive operational framework, ultimately driving improvements in performance and efficiency. By adopting the Fliq Platform, companies can fully realize their potential and refine their manufacturing operations, ensuring sustained growth and competitiveness in the market. The transformative capabilities of this platform empower organizations to adapt swiftly to changes and make informed decisions that can lead to long-term success.

Media

Media

Integrations Supported

AS-TEG
Apptricity Inventory Management
Asset Integrity Hub (AIH)
Availability Workbench
Axonius
Causelink
Convertigo
Fieldman
Hardcat Asset Management
IAMTech
Mobideo
Modo
Omnio
Proarc
Procify Workflow
Prometheus Platform
UpKeep
VKS
WorkfloPlus
Zaptic

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

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

Company Facts

Organization Name

FLiQ

Company Location

Australia

Company Website

www.fliq.fi

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

Categories and Features

Data Visualization

Not specified

IoT Analytics

Not specified

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