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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Imagine if structures possessed a 'brain' capable of monitoring their internal systems and reacting instantly; the potential for enhanced security, comfort, and efficiency could be immense. We are exploring this concept with Neuron, which utilizes artificial intelligence to transform our buildings, neighborhoods, and urban areas into healthier and more sustainable environments. Neuron operates as an integrated application that merges our knowledge of the built environment with cutting-edge digital technologies into one cohesive platform. Leveraging 5G and the Internet of Things, it collects real-time sensory data from various equipment and systems. Additionally, it employs Building Information Modelling (BIM) to visualize these intricate data sets through a centralized management console hosted in the cloud. The 'brain' of Neuron harnesses artificial intelligence and machine learning to evaluate, enhance, and automate operational processes. Furthermore, digital twins play a crucial role in bridging the gap between the physical and digital realms. As consultants and technology experts, our mission is to create a digital twin that harmonizes diverse information sources, ultimately leading to smarter and more interconnected environments. This innovative approach not only advances efficiency but also fosters collaboration among various stakeholders.

Description

ScaleOut Digital Twin Streaming Service™ allows for the seamless creation and deployment of real-time digital twins for advanced streaming analytics. With the ability to connect to numerous data sources such as Azure and AWS IoT hubs, Kafka, and others, it enhances situational awareness through live, aggregate analytics. This innovative cloud service is capable of tracking telemetry from millions of data sources simultaneously, offering immediate and in-depth insights with state-tracking and focused real-time feedback for a multitude of devices. The user-friendly interface streamlines deployment and showcases aggregate analytics in real time, which is essential for maximizing situational awareness. It is suitable for a diverse array of applications, including the Internet of Things (IoT), real-time monitoring, logistics, and financial services. The straightforward pricing structure facilitates a quick and easy start. When paired with the ScaleOut Digital Twin Builder software toolkit, the ScaleOut Digital Twin Streaming Service paves the way for the next generation of stream processing, empowering users to leverage data like never before. This combination not only enhances operational efficiency but also opens new avenues for innovation across various sectors.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS IoT
Amazon Web Services (AWS)
Apache Kafka
Microsoft Azure

Integrations

AWS IoT
Amazon Web Services (AWS)
Apache Kafka
Microsoft Azure

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

Arup

Founded

1946

Country

United Kingdom

Website

www.arup.com/expertise/services/digital/arup-neuron

Vendor Details

Company Name

ScaleOut Software

Founded

2003

Country

United States

Website

www.scaleoutsoftware.com/products/digital-twin-streaming-service/

Product Features

Product Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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