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What is FalconEAM?

FalconEAM, recognized as Computerized Maintenance Management System (CMMS) Software, is a dynamic, enterprise-level solution for asset management that provides a detailed perspective on an organization's asset infrastructure, including metrics such as availability, health, productivity, and the historical data of both preventive and periodic maintenance as well as various maintenance strategies. By significantly reducing unplanned downtime, FalconEAM not only improves asset performance but also extends the lifespan of capital equipment, ultimately enhancing the return on assets. It effectively organizes maintenance tasks—be they periodic, cyclic, or reactive—by scheduling and assigning them to the appropriate operators. The system's capability to integrate Industrial IoT (Industry 4.0) sensors and predictive analytics further enhances its functionality by generating alerts for necessary preventive maintenance. Additionally, it facilitates the management of assets across multiple business units or locations while ensuring a cohesive overview of the entire asset infrastructure within its operational framework. With features like geo-tagging and regular audit checks, the system guarantees precise validation of asset availability at their assigned locations, thereby fostering a more methodical and efficient management strategy. In essence, FalconEAM emerges as an indispensable resource for organizations striving to refine their asset management methodologies and achieve operational excellence. It not only streamlines processes but also empowers decision-makers with data-driven insights.

What is Amazon Lookout for Equipment?

Utilize existing sensor information to create specialized machine learning (ML) models that cater to your machinery's needs. Establish automatic monitoring systems capable of promptly and precisely detecting sensor irregularities. This approach accelerates the resolution of issues by providing immediate notifications and triggering automated actions when anomalies are discovered. By incorporating feedback and analyzing trends in anomalies, the effectiveness and precision of your alerts can be further improved. Amazon Lookout for Equipment serves as a machine learning solution for monitoring industrial machinery, detecting atypical behavior, and facilitating proactive strategies to avert unexpected downtimes. This service enables the quick identification of abnormal activity in your equipment, allowing for swift diagnosis and corrective measures to reduce unforeseen interruptions, all without requiring any prior knowledge of machine learning. Furthermore, this efficient method not only conserves valuable time but also significantly boosts overall effectiveness in industrial settings, contributing to a more resilient operational framework.

Media

Media

Integrations Supported

Amazon S3
Micromerce

Integrations Supported

Amazon S3
Micromerce

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

Inventrax

Company Location

India

Company Website

inventrax.com/enterprise-asset-management.aspx

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lookout-for-equipment/

Categories and Features

EAM

CMMS
Energy Management
Equipment Management
Facility Management
IT Asset Management
Inventory Management
Maintenance Management
Parts Management
Preventive Maintenance Scheduling
Software License Management
Warranty 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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