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ease
features
design
support

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Description

The DarkStax™ platform offers a versatile and easily adaptable set of features designed for the creation of digital twins across military, industrial, and enterprise systems. It facilitates the seamless integration of customer-defined models based on operational data and virtualization, all within a scalable environment that can be deployed in the cloud or on-premises computational infrastructure. With DarkStax™, users can model cyber-physical systems and simulate cyber wargames utilizing digital twins effectively. The platform allows for the development or integration of pre-existing digital models to monitor the systems throughout their entire lifecycle. Additionally, DarkStax™ provides a cost-efficient setting for evaluating and implementing innovative technologies and business strategies. The DarkStax engine enhances processes and elevates the quality of data, generating deeper analytical insights and improving AI/ML models. It employs an automated, process-oriented approach that is particularly beneficial for analytic and data teams. Furthermore, its visualization web services offer a comprehensive range of visualization options to meet diverse user needs. Overall, DarkStax™ stands out as an indispensable tool for organizations aiming to harness the power of digital twins effectively.

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.

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

DarkStax

Country

United States

Website

darkstax.com

Vendor Details

Company Name

GE Digital

Founded

2015

Country

United States

Website

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

Product Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

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

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