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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.

What is camLine Cornerstone?

Cornerstone's data analysis software significantly improves the design of experiments and data exploration, enabling users to assess dependencies and generate actionable insights in real-time and through interactive engagement, all without needing programming expertise. It adopts an engineer-friendly methodology for conducting statistical tasks, liberating users from the burdens of complex statistical concepts. The software excels at swiftly identifying correlations within datasets, even in a Big Data context. By utilizing statistically optimized experimental designs, it reduces the number of experiments required and accelerates the development timeline. Moreover, it aids in the quick identification of effective process models and root-cause analysis through visual and exploratory data analysis. Systematic planning, efficient data gathering, and comprehensive result evaluation enhance the experiments performed. Users can effortlessly examine how noise in process variables affects the outcomes, while the software automatically creates compact, reusable workflows for future applications, establishing it as an essential tool for making data-driven decisions. Ultimately, Cornerstone not only facilitates a more efficient data analysis and experimentation process but also empowers users to make informed decisions quickly and effectively. With its comprehensive features, it positions itself as a leader in experimental design and data analysis solutions.

Media

Media

Integrations Supported

Integrations Supported

Elfsight

API Availability

API Availability

Pricing Information

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

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Standard 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

Sentient Science Corporation

Date Founded

2001

Company Location

United States

Company Website

sentientscience.com

Company Facts

Organization Name

camLine

Date Founded

1989

Company Location

Germany

Company Website

www.camline.com/products/cornerstone/

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

Categories and Features

Data Analysis

Not specified

Root Cause Analysis

Not specified

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Storage
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Time Series
Visualization

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