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What is WillowTwin?

WillowTwinâ„¢ represents a cutting-edge software solution deeply rooted in a wealth of knowledge from the real estate and infrastructure industries. This platform enables users to make timely, data-driven decisions that can lead to cost savings, enhanced profitability, and improved risk management. By harnessing the power of digital twins, WillowTwinâ„¢ provides an accessible way to store, organize, and retrieve data generated from real estate and infrastructure systems. It transforms data that was previously locked away in proprietary systems into actionable insights for asset owners, managers, and users of built environments, yielding substantial advantages. The platform guarantees that all spatial, static, and dynamic system data is integrated into a secure, centralized interface. Data is protected within a robust, enterprise-grade repository and cloud-hosted framework, benefiting from the reliability of Microsoft Azure's infrastructure. Designed to support any asset type, WillowTwinâ„¢ includes industry-specific features and requirements, making it adaptable for a wide variety of projects while consistently evolving to address market demands. With its extensive functionalities, WillowTwinâ„¢ emerges as a revolutionary resource in the administration of real estate and infrastructure assets, ultimately fostering better decision-making and operational efficiency.

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

Media

Integrations Supported

Microsoft Azure
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft 365

Integrations Supported

Microsoft Azure
Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft 365

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

Willow

Company Location

Australia

Company Website

www.willowinc.com/product/

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

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