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What is Prequip?

Prequip stands out as a state-of-the-art platform that leverages artificial intelligence for predictive maintenance and facilities intelligence, allowing for the continuous oversight of building systems to spot irregularities and prevent equipment malfunctions before they occur. It integrates effortlessly with existing building infrastructure, such as HVAC systems, lighting networks, and energy meters, which removes the necessity for new hardware installations and empowers organizations to amalgamate operational data from various systems into a single cohesive interface. Through the use of advanced machine learning and analytics, Prequip consistently assesses sensor data alongside historical performance patterns to uncover early signs of system degradation or abnormal behavior. This functionality enables facilities teams to transition from a reactive maintenance model, which addresses problems only after they arise, to a proactive approach that anticipates potential issues and arranges prompt repairs. By implementing this innovative solution, organizations can not only improve operational efficiency but also prolong the lifespan of their equipment, ultimately leading to significant cost savings. This strategic shift not only enhances reliability but also fosters a culture of continuous improvement within facilities management.

What is Aspen Mtell?

Recognizing patterns in operational data is essential for anticipating deterioration and potential malfunctions well in advance. By implementing precise failure pattern identification, organizations can significantly reduce the occurrence of false positives that are often problematic in model-based methodologies. The use of advanced machine learning approaches enables a rapid differentiation between typical and atypical behaviors, which can lead to the activation of equipment protection measures within weeks rather than months. Additionally, the collaboration between Aspen Mtell and Aspen Cloud Connect™ allows for seamless access to devices operating under OPC UA, further enhancing analytical capabilities. This integration serves as a crucial line of defense against asset degradation by identifying early indicators of failure through operational data analysis. Moreover, incorporating AI-driven agent development improves current maintenance practices, enabling swift deployment of autonomous agents across multiple locations or even throughout an entire organization. With the focus on accurate failure pattern detection, businesses can greatly minimize the frequency of false positives often seen in conventional model-based approaches. By utilizing streamlined machine learning techniques, companies can quickly identify and respond to both standard and irregular activities, ensuring robust protection for their equipment and optimizing operational efficiency. This proactive approach ultimately fosters resilience and reliability in asset management strategies.

Media

Media

Integrations Supported

SAP Store

Integrations Supported

SAP Store

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

Prequip

Date Founded

2015

Company Location

United States

Company Website

www.prequip.io

Company Facts

Organization Name

Aspen Technology

Date Founded

1981

Company Location

United States

Company Website

www.aspentech.com/en/products/apm/aspen-mtell

Categories and Features

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

Preventive Maintenance

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

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