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features
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support

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Description

Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.

Description

The analysis of data from diverse IoT sources, such as sensors and devices, facilitates predictive and prescriptive insights that empower users to address potential anomalies in real time. Concentio® IoT Doctor effectively processes data from various IoT endpoints, notifying users of any faulty incoming data to ensure that issues are resolved before the data is utilized for further analytical purposes. Additionally, the Concentio® Production Line Fault Prediction tool leverages AI to conduct predictive assessments of production line components by analyzing IoT data, videos, and images. Meanwhile, Concentio® Optimal Asset Management scrutinizes incoming information from a network of utility service assets, allowing users to schedule timely maintenance and ultimately reduce capital expenditures by informing strategic asset replacement decisions. This comprehensive approach not only enhances operational efficiency but also significantly contributes to improved asset longevity and performance.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

SAP Store Yes 

Integrations

SAP Store No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Aspen Technology

Founded

1981

Country

United States

Website

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

Vendor Details

Company Name

Scry AI

Founded

2014

Country

United States

Website

scryai.com

Product Features

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management No 

Product Features

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management No 
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