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Description
Top laboratories around the globe rely on the comprehensive software and hardware solutions offered by Elemental Machines to establish a connection between their current equipment and the cloud, allowing them to consolidate a wealth of data onto a single dashboard or integrate it with their preferred systems through APIs. By partnering with Elemental Machines, laboratories gain the ability to monitor their assets in real-time and receive immediate alerts, ensuring they can track every component from any location at any moment. This innovative approach allows for the aggregation of data from various assets into one IoT platform, facilitating real-time oversight, data-driven decision-making, and smooth compatibility with pre-existing systems. Additionally, the implementation of autonomous quality checkpoints at critical stages of the manufacturing or research processes helps minimize waste and alleviate regulatory pressures. As laboratory teams gradually return to their workspaces, our complimentary tool offers lab managers the necessary flexibility to efficiently schedule asset usage and set their teams up for optimal performance. Users can easily arrange for regular maintenance and keep stakeholders informed about any planned asset downtime, thus enhancing operational efficiency. This holistic approach not only streamlines lab management but also cultivates an environment where innovation can thrive.
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
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
Elemental Machines
Founded
2015
Country
United States
Website
elementalmachines.com
Vendor Details
Company Name
GE Digital
Founded
2015
Country
United States
Website
www.ge.com/digital/applications/digital-twin
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
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
