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What is Mango by Radix IoT?

Mango, created by Radix IoT, functions as a comprehensive IIoT and SCADA platform capable of integrating with devices from various manufacturers through more than 40 protocols, thus unifying operational data into a cohesive, real-time view. It adeptly collects data points for centralized monitoring, control, and analysis of numerous assets such as machinery, buildings, and vast global portfolios. Essential infrastructures spanning data centers, telecommunications, smart commercial real estate, and energy sectors across six continents depend on Mango to deliver a consolidated, real-time data framework vital for fostering AI-driven analytics, boosting operational effectiveness, enabling predictive maintenance, and optimizing workflow automation. Moreover, Mango's compatibility with Radix IoT's errProof introduces a groundbreaking governance layer that connects records with field teams. When an alarm within Mango activates, it initiates a job plan through errProof, directing technicians along a structured process where they can record data at every stage, while an automatic audit trail is generated to confirm resolution before completion, effectively closing the loop from detection to action. This forward-thinking methodology not only bolsters operational reliability but also greatly enhances accountability in maintenance tasks, ensuring that teams can track and verify their actions throughout the entire process, ultimately leading to better outcomes.

What is Mango Viewer?

Mango Viewer is a powerful graphical user interface designed specifically for the analysis of medical images, accommodating a wide range of file formats, including DICOM, NIfTI, and ANALYZE. This application provides an extensive array of tools for examining and interpreting medical imaging data, featuring multi-planar viewing options such as axial, sagittal, and coronal views, in addition to sophisticated surface rendering capabilities and functions for defining and analyzing regions of interest. The user-friendly interface of Mango facilitates scripting and batch processing, making repetitive tasks much easier for users. Moreover, it includes advanced features like image overlay, image fusion, and visualization of 4D data, along with dynamic contrast-enhanced imaging capabilities. Users can leverage ROI tools to extract important statistical information, such as volume, mean, and standard deviation, and they can create ROIs either manually or through automated methods. Furthermore, Mango’s proficiency in managing multiple images proves beneficial for comparative studies, and its functionality is enhanced by plugins that cater to brain mapping, tractography, and perfusion analysis. Notably, this adaptable software is platform-independent, ensuring users can access it across various systems. With its rich set of features and capabilities, Mango Viewer serves as an invaluable resource for researchers and professionals within the medical imaging domain, facilitating innovative studies and advancements in the field.

Media

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Media

Integrations Supported

Radix IoT

Integrations Supported

API Availability

API Availability

Pricing Information

Per-unit subscription
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

On-Prem
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Radix IoT

Date Founded

2017

Company Location

United States

Company Website

radixiot.com

Company Facts

Organization Name

Mango Viewer

Date Founded

2006

Company Location

United States

Company Website

mangoviewer.com/mango.html

Categories and Features

Industrial IoT

Not specified

SCADA

Not specified

Categories and Features

DICOM Viewers

Not specified

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