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What is Intosite?

Intositeâ„¢ enables users to craft cloud-based visualizations of their production settings in diverse formats such as 2D, 3D, and panoramic views, all while incorporating geographical elements. This groundbreaking platform facilitates easy navigation through facilities, providing straightforward access to various IT system data in an intuitive format. Users can embark on virtual tours of their locations, enhanced by sophisticated visualization methods, and swiftly gather essential information through interactive visual tags that connect to PLM and other IT systems. With Intosite, you can effortlessly retrieve, visualize, and interact with up-to-date manufacturing data via the digital twin of your production environments, regardless of their geographical placement. This state-of-the-art solution simplifies access to location-based manufacturing insights, fundamentally changing how facility management is approached. By utilizing Intosite, organizations can create and navigate cloud-based digital models of their factory spaces with ease, ultimately driving operational efficiency to unprecedented levels and fostering better decision-making processes.

What is GE Digital Twin?

Employing advanced analytics and machine learning methodologies is vital for reducing operational costs and alleviating risks. Digital twins, a key element of the digital transformation journey, offer exact virtual models of physical assets, systems, and objects that aim to improve productivity, streamline processes, and boost profitability. Generally, a digital twin is seen as a software representation of a tangible asset or system designed to identify, prevent, forecast, and enhance operations through real-time data analysis, ultimately providing considerable advantages for businesses. At GE Digital, we focus on utilizing digital twin software to support our clients across three essential areas: Asset, Network, and Process. By adeptly overseeing, simulating, and controlling an asset or process, organizations can greatly improve system performance. Moreover, it is imperative to prioritize the health and safety of employees and the environment while pursuing business objectives, which entails reducing incidents associated with assets and processes and avoiding unexpected downtimes, thus nurturing a more robust operational structure. The adoption of digital twin technology not only boosts efficiency but also opens doors for innovation across numerous industries. As organizations embrace this technology, they position themselves for sustained growth and competitive advantage in an ever-evolving marketplace.

Media

Media

Integrations Supported

APERIO DataWise

Integrations Supported

APERIO DataWise

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

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.plm.automation.siemens.com/global/en/products/tecnomatix/intosite.html

Company Facts

Organization Name

GE Digital

Date Founded

2015

Company Location

United States

Company Website

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

Categories and Features

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Categories and 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

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