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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Relying on manual monitoring poses significant risks. It is simply not feasible to oversee operations continuously, and intermittent checks tend to be unreliable at their best. Employees can overlook essential readings, and the data they do capture is often affected by human error as they hurry to return to other pressing responsibilities. Despite these challenges, equipment failures can occur at any hour, leading to serious consequences. In the absence of a comprehensive monitoring solution, organizations can incur substantial financial losses due to labor costs, regulatory penalties, unanticipated equipment malfunctions, wasted resources, and additional expenditures. As the leading provider of comprehensive remote monitoring solutions, we are dedicated to offering exceptional automated protection for commercial refrigeration systems and facilities, ensuring consistent oversight while generating considerable cost efficiencies. Our technology not only safeguards your equipment but also significantly enhances operational reliability.

Description

Siemens Industrial Edge is a multi-purpose edge computing platform that helps manufacturers process industrial data closer to where production happens. It is designed to optimize factory operations by combining Siemens and partner technologies across hardware, software, apps, connectivity, and central device management. The platform makes it easier to connect shop floor assets, standardize data, and turn operational information into real-time insights. Industrial Edge supports scalable app and device management, allowing companies to roll out software across distributed factory environments with IT-like simplicity. It connects OT systems with cloud platforms, IIoT SaaS solutions, ERP, MES, SCADA, and MQTT environments to support stronger IT and OT convergence. Manufacturers can use it for OEE monitoring, production analytics, intelligent maintenance, predictive insights, and resource planning. The platform also supports software-defined automation through virtual PLC and HMI capabilities, helping companies move toward more flexible manufacturing systems. AI models can be deployed on the shop floor for defect detection, monitoring, process optimization, and throughput improvement. With secure infrastructure, ecosystem offerings, and centralized management, Siemens Industrial Edge helps industrial organizations reduce complexity while making faster and smarter operational decisions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

MSIGHTS

Integrations

MSIGHTS

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

IoT In a Box

Country

United States

Website

www.iotinabox.com

Vendor Details

Company Name

Siemens

Founded

1847

Country

Germany

Website

www.siemens.com/en-us/products/industrial-edge/

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Product Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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