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What is EPIC iO?

EPIC iO brings together software-driven solutions to provide dependable connectivity options, maximize the benefits of AI and IoT investments, and foster improved business outcomes. Focusing on software technology, EPIC iO leverages AIoT solutions to help organizations enhance their security, intelligence, and interconnectivity. Through our open AI platform, DeepInsights™, both government agencies and private organizations can effectively harness, generate, and analyze IoT data in a sophisticated manner. This instantaneous data processing results in valuable, actionable insights that are easily accessible via a unified, integrated platform. We streamline IoT connectivity by interconnecting various IoT components, including video streams, sensors, routers, and gateways. Our proficiency covers a broad spectrum of applications, ranging from remote oil and gas operations to agricultural settings, urban landscapes, manufacturing industries, educational institutions, and mobile operations, effectively overcoming one of the main challenges of IoT—maintaining reliable bandwidth across varied locations. By addressing this challenge, we empower businesses to maximize their IoT investments, spark innovation, and enhance operational efficiency, ensuring they stay competitive in an ever-evolving market.

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

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

EPIC iO Technologies

Company Location

United States

Company Website

epicio.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

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

IoT

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

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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