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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 DC-E DigitalClone for Engineering?

DigitalClone® for Engineering stands out as the sole software that seamlessly combines various scales of analysis within a unified platform. Recognized globally as the premier tool for predicting gearbox reliability, DC-E excels not only in its modeling and analysis capabilities specific to gearboxes and gear/bearing interactions but also uniquely incorporates fatigue life modeling through advanced, physics-based methodologies (US Patent 10474772B2). By enabling the creation of a digital twin for gearboxes, DC-E encompasses every phase of an asset's lifecycle—from the optimization of design and manufacturing processes to the selection of suppliers, followed by thorough root cause analysis of failures and condition-based maintenance along with prognostics. This innovative computational environment significantly decreases both the time and costs associated with launching new designs and ensuring their long-term maintenance, ultimately enhancing operational efficiency. Moreover, it empowers engineers to make informed decisions at every stage, leading to improved performance and reliability.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Upon request
Depending on AWS based non-government and government operations
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Online 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

Sentient Science Corporation

Date Founded

2001

Company Location

United States

Company Website

sentientscience.com

Categories and Features

Digital Twin

Not specified

Simulation

Not specified

Categories and Features

Digital Twin

Not specified

Engineering

2D Drawing
3D Modeling
Design Analysis
Mechanical Engineering

Root Cause Analysis

Not specified

Simulation

Not specified

Statistical Analysis

Statistical Process Control
Statistical Simulation

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