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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Utilizing sophisticated analytics and machine learning techniques is essential for minimizing operational expenses and mitigating risks. A fundamental component of the digital transformation landscape, digital twins provide precise virtual representations of tangible assets, systems, and objects to enhance productivity, optimize processes, and drive profitability. Typically, a digital twin is regarded as a software model of a physical asset or system that is tailored to identify, avert, predict, and refine processes through real-time analytics, ultimately delivering significant business advantages. At GE Digital, our emphasis lies in leveraging digital twin software to assist our clients in three primary domains: Asset, Network, and Process. By effectively monitoring, simulating, and managing an asset, process, or network, organizations can significantly elevate system performance. Furthermore, it is crucial to ensure the well-being and safety of employees and the environment while achieving business goals by minimizing incidents related to assets and processes, as well as preventing unintended downtimes, thereby fostering a more resilient operational framework. The integration of digital twin technology not only enhances efficiency but also paves the way for innovation across various sectors.

Description

UTwin empowers building owners and asset managers to handle data in a more intelligent and collaborative manner, leveraging the capabilities of digital twins. This innovative platform serves as a unique gateway to the building's data landscape, allowing for centralized access. By utilizing data-driven insights, building owners and property managers can make informed decisions that lead to reduced costs, enhanced operational efficiency, and minimized risks. The platform facilitates improved decision-making through real-time data presented in an easily navigable visual format, promoting comprehensive awareness of building operations. Users can monitor and lessen operational, environmental, and financial expenditures by harnessing historical data alongside predictive performance analytics. Additionally, UTwin ensures compliance with government regulations by offering secure access to real-time reporting tools. A primary focus is to raise awareness of energy consumption within buildings, which represents a crucial initial step towards sustainable practices. Moreover, UTwin fosters innovation within the real estate sector by enabling intelligent, remote, and safe building management through the use of live data. This comprehensive approach not only supports sustainable initiatives but also encourages a culture of continuous improvement in building management.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

APERIO DataWise

Integrations

APERIO DataWise

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

GE Digital

Founded

2015

Country

United States

Website

www.ge.com/digital/applications/digital-twin

Vendor Details

Company Name

UTwin

Country

Italy

Website

www.utwin.it/

Product Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Product Features

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Alternatives

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