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Ratings and Reviews 0 Ratings
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Treedis is a cutting-edge digital twin platform enhanced by AI, specifically tailored for Connected Workers. This platform equips shop floor employees with a real-time 3D visualization of their facility, supported by an intelligent AI that understands the model and its related documentation, all conveniently accessed via a flexible field application that can be set up in just a few days. By converting a single scan into an interactive model, it guarantees that assets, P&IDs, SOPs, work orders, and IoT data are strategically organized for maximum utility. Diverse teams, including maintenance, operations, engineering, and safety, can engage with this information through a web interface or augmented reality directly on the equipment. This seamless integration not only accelerates onboarding but also shortens troubleshooting times while safeguarding vital knowledge within the organization. Ultimately, Treedis plays a crucial role in boosting operational efficiency and ensuring knowledge is preserved among teams, fostering a more informed workforce. Furthermore, its rapid deployment capabilities make it an attractive solution for companies aiming to enhance their operational processes swiftly.
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.
Media
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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
Treedis
Date Founded
2019
Company Location
Israel
Company Website
www.treedis.com
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
EAM
CMMS
Energy Management
Equipment Management
Facility Management
IT Asset Management
Inventory Management
Maintenance Management
Parts Management
Preventive Maintenance Scheduling
Software License Management
Warranty Management
Work Order Management
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization