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Ratings and Reviews 0 Ratings
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What is aedifion?
We have developed a cutting-edge platform aimed at boosting the transparency and sustainability of buildings, while effectively reducing energy consumption and carbon footprints through smart AI-driven regulation. Leveraging the plug-and-play features of the aedifion cloud platform in conjunction with a digital replica of your building, we create a solid data infrastructure that facilitates numerous applications. Users can easily access this system through both a web interface and a mobile application. Our platform, which integrates various external data sources, identifies immediate optimization opportunities that can be implemented without delay. With aedifion, you benefit from a blend of engineering expertise and artificial intelligence, transforming your buildings into more sustainable, transparent, and valuable assets, all achieved through seamless integration. Furthermore, our solution provides connectivity to all aspects of technical building systems, ensuring that high-quality data is readily available in an accessible format. Enhanced operational efficiency is realized through comprehensive reporting and automated analyses powered by AI, enabling ongoing improvements in building management. This innovative strategy not only encourages sustainability but also significantly increases the intrinsic value of your properties, ultimately benefiting both the environment and your investment. As you embrace these advancements, you position your buildings at the forefront of modern, responsible architecture.
What is Azure Digital Twins?
Azure Digital Twins serves as an IoT platform enabling the creation of digital replicas of physical entities, spaces, processes, and people. This innovative platform yields critical insights that can significantly improve product development, optimize operational efficiency, lower costs, and enhance customer satisfaction. It provides an intuitive framework for crafting digital representations of interconnected settings using a flexible modeling language. Users can model a wide variety of entities, including buildings, manufacturing plants, agricultural fields, energy systems, transportation networks, sports facilities, and even entire cities. These digital twins come alive in a dynamic execution environment that monitors changes over time. By utilizing powerful query APIs, users can glean actionable insights into the behaviors of their modeled environments and easily integrate with Azure's data analytics services. The open modeling language allows for the creation of customized domain models tailored to any connected setting through the Digital Twins Definition Language, ensuring adaptability across various applications. Thus, Azure Digital Twins not only supports business innovation but also enables organizations to adjust effectively in an ever-evolving digital landscape, making it an invaluable tool for modern enterprises.
Integrations Supported
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure
Integrations Supported
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based 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
aedifion
Date Founded
2017
Company Location
Germany
Company Website
www.aedifion.com/en/
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/digital-twins
Categories and Features
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization