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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Leverage your current IoT, video, and enterprise application data in its existing location, eliminating the need for data reingestion or relocation. Benefit from an automatically created knowledge graph that interconnects your data sources with virtual representations of physical systems, enabling precise modeling of real-world scenarios. Experience an immersive 3D visualization of your operations and systems, enhancing efficiency, boosting production, and elevating performance levels. AWS IoT TwinMaker simplifies the process for developers to create digital twins of tangible systems, including buildings, factories, industrial machinery, and production lines. With AWS IoT TwinMaker, you gain access to essential tools for developing digital twins that optimize building management, augment production capacity, and enhance equipment functionality. Additionally, by utilizing data from various sources, you can construct virtual models of any physical setting while integrating existing 3D models with real-time data for comprehensive insights. This capability allows for a more informed decision-making process, ultimately driving better outcomes in operational strategies.

Description

The Capital Electrical and Electronics (E/E) systems development software suite includes capabilities for E/E system and software architecture, communication networks, and embedded software creation. It enables the efficient design, engineering, and validation of intricate products, particularly through the use of a digital twin framework. Modern E/E systems are marked by their escalating complexity, necessitating a robust integration of electrical, electronic, and software components. By utilizing Capital, a holistic E/E systems development solution, you can enhance the development of innovative products. Significantly boost automation with an all-encompassing model-based digital twin, which facilitates a smooth integration across various engineering disciplines. This solution allows for connection within an open ecosystem, featuring user-friendly and adaptable tools. Additionally, it enhances the optimization of E/E system architectures, focusing on key metrics such as cost, weight, and bandwidth while also improving collaboration across teams.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
VeSys

Integrations

Amazon Web Services (AWS)
VeSys

Pricing Details

$1.50 per million calls
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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/iot-twinmaker/

Vendor Details

Company Name

Siemens

Founded

1847

Country

Germany

Website

plm.sw.siemens.com/en-US/capital/

Product Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Product Features

Computer-Aided Engineering (CAE)

CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis

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