Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Akselos Cloud platform offers a comprehensive framework for Digital Twins through a cloud-based solution. It encompasses a full spectrum of services, from automated updates regarding asset loads and conditions to user-friendly dashboards that clearly display current asset integrity. With Akselos technology, there are no longer any constraints, as it allows for the modeling of intricate issues in structures of any scale with remarkable precision. Our innovative approach accelerates structural simulations, achieving speeds up to 1000 times faster than traditional software. Tasks related to design and operational workflows that previously required months of effort can now be completed in just hours. Furthermore, relevant data, including sensors and process parameters, can be seamlessly integrated with our models, enabling even greater optimization of your assets. Each of our simulations rigorously validates results against applicable engineering codes and standards, ensuring that you can trust your asset’s safety and compliance with all necessary regulations. This comprehensive capability not only enhances efficiency but also fosters greater innovation in asset management and maintenance.
Description
Navigating the complexities of integrating data necessary for digital twins can be difficult, especially when dealing with incompatible formats and diverse sources from various vendors. Creating, visualizing, and analyzing digital twins should not be overly complicated. As fellow engineers dedicated to problem-solving, we have developed software that addresses some of the most intricate engineering issues within the infrastructure sector. By merging engineering data, real-time information, and IoT data, we can craft an engaging 3D or 4D immersive experience. This approach leads to a more profound comprehension of infrastructure assets and the ability to unlock the potential of digital data, ultimately making a significant impact. Our solutions provide the digital capabilities essential for achieving business success. Digital twins represent a dynamic digital version of physical assets, processes, or systems, enabling us to analyze and model their performance comprehensively. Unlike static 3D models, digital twins are perpetually refreshed with data from a variety of sources, enhancing their utility and accuracy. Embracing this technology empowers organizations to optimize operations and drive innovation.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Akselos
Founded
2012
Country
United States
Website
akselos.com
Vendor Details
Company Name
Bentley Systems
Founded
1984
Country
United States
Website
www.bentley.com/en/products/product-line/digital-twins/itwin
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
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