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Description
Determining whether a machine is operational is relatively straightforward, but forecasting its potential failures over the coming days, weeks, or even months is considerably more complex. Envision a scenario where one of your industrial assets could inform you about an impending issue twelve months in advance, specifying not only the exact nature of the problem but also its underlying causes. With such foresight, you can strategically plan repairs or replacements well ahead of time, thereby significantly cutting costs by utilizing the ANNEA automated predictive maintenance platform. ANNEA stands out as the premier next-generation platform for condition-based predictive and prescriptive maintenance tailored for your machinery. Our innovative end-to-end solutions allow us to develop digital twins for each component of your machines, leveraging advanced artificial intelligence, physical modeling, and normal behavior modeling to enhance performance and reliability. This approach not only improves operational efficiency but also empowers you to make data-driven decisions for long-term asset management.
Description
Anticipate machine malfunctions before they arise by utilizing machine learning (ML) and taking proactive measures. Within minutes, you can initiate equipment monitoring through a straightforward installation, coupled with automated and secure analysis via the comprehensive Amazon Monitron system. The accuracy of this system improves over time, as it incorporates technician insights provided through mobile and web applications. Serving as a complete solution, Amazon Monitron leverages machine learning to identify irregularities in industrial machinery, facilitating predictive maintenance. By implementing this easy-to-install hardware and harnessing the capabilities of ML, you can significantly lower expensive repair costs and minimize equipment downtime in your factory. With the help of predictive maintenance powered by machine learning, you can effectively reduce unexpected equipment failures. Amazon Monitron analyzes temperature and vibration data to forecast potential equipment failures before they occur. Assess the initial investment needed to launch this system against the potential savings it can generate in the long run. In addition, investing in such a system can lead to enhanced operational efficiency and greater peace of mind regarding equipment reliability.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
Amazon Web Services (AWS)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ANNEA
Founded
2019
Country
Germany
Website
annea.ai
Vendor Details
Company Name
Amazon
Country
United States
Website
aws.amazon.com/monitron/
Product Features
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
