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What is iTwin?

Integrating the necessary data for digital twins can be quite challenging, particularly when faced with differing formats and a variety of sources from multiple vendors. The processes of creating, visualizing, and analyzing digital twins should ideally be straightforward. As engineers committed to innovative solutions, we have designed software that tackles some of the toughest challenges in the infrastructure industry. By integrating engineering data alongside real-time and IoT information, we are able to produce a captivating 3D or 4D immersive experience. This methodology fosters a deeper understanding of infrastructure assets while unlocking the potential inherent in digital data, which can lead to significant advancements. Our solutions arm organizations with the digital tools required to thrive in today’s competitive landscape. Digital twins serve as dynamic digital representations of physical assets, processes, or systems, allowing for a thorough analysis and modeling of their performance. Unlike traditional static 3D representations, digital twins continuously update with data from diverse sources, significantly boosting their accuracy and effectiveness. Adopting this technology not only enhances operational efficiency but also paves the way for groundbreaking innovations. Ultimately, embracing digital twins can transform how organizations perceive and manage their assets.

What is Digital Twin Studio?

The Data-Driven Digital Twin toolkit enables real-time visualization, monitoring, and optimization of operations through the use of machine learning and artificial intelligence, effectively managing costs associated with SKUs, resources, automation, equipment, and more. Featuring Digital Twin Shadow Technology, this system provides real-time visibility and traceability via its Open Architecture, allowing seamless interaction with various RTLS and data systems, including RFID, barcode, GPS, and various management software like WMS, EMR, ERP, and MRP. With the integration of AI and machine learning, users benefit from predictive analytics and dynamic scheduling, as the technology offers timely insights and alerts about potential issues before they escalate. Additionally, the Digital Twin Replay feature allows users to revisit past events and configure active alerts, while the Digital Twin Studio supports the playback and animation of these events in virtual reality, 3D, and 2D formats. Furthermore, the tool provides dynamic dashboards with a user-friendly drag-and-drop builder, offering limitless customization options for data presentation and analysis. This comprehensive digital twin solution empowers organizations to enhance efficiency and gain deeper insights into their operational processes.

Media

Media

No images available

Integrations Supported

SQL

Integrations Supported

SQL

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

Bentley Systems

Date Founded

1984

Company Location

United States

Company Website

www.bentley.com/en/products/product-line/digital-twins/itwin

Company Facts

Organization Name

CreateASoft

Date Founded

1992

Company Location

United States

Company Website

www.createasoft.com

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

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

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