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What is Kazuhm?

By the year 2025, it is anticipated that the Internet of Things (IoT) will comprise 41 billion devices capable of producing over 76 zettabytes of data. In response, organizations are increasingly adopting IoT strategies aimed at boosting manufacturing productivity and prioritizing employee safety. A variety of industries, such as utilities, agriculture, energy, and healthcare, are harnessing interconnected sensor networks to collect a wide range of observable and actionable insights. Nevertheless, to fully realize the benefits of IoT projects, it is essential for data to be processed rapidly enough to impact decision-making in microseconds. Furthermore, managing the costs tied to data processing and storage is vital for organizations seeking a solid return on investment. To address these challenges, a groundbreaking distributed computing technology known as Kazuhm has emerged, designed to process IoT data directly within networks on the originating devices, which facilitates ultra-low latency and lowers costs compared to conventional cloud or edge solutions. This cutting-edge method not only streamlines data management but also equips companies to react to real-time information with greater efficiency and agility. Ultimately, the integration of such technologies could redefine how businesses operate and respond to the dynamic demands of their industries.

What is Data Collection Core?

The Data Collection Core, developed by Iotsmart, is an innovative software solution designed for the efficient real-time collection of data from OPC Servers and a variety of devices, processing this information while enabling simultaneous output to multiple storage solutions to consolidate data from all connected devices in a single, centralized hub. It can be deployed in either cloud environments or on-premises settings, utilizing options such as Azure IoT Edge, AWS IoT Edge, or virtual machines configured with containers. This versatility guarantees accurate data acquisition directly from sensors while seamlessly interfacing with OPC UA and HTTPS outputs, facilitating the integration of numerous devices with performance levels that exceed traditional client solutions. Furthermore, the system is equipped with server redundancy for both OPC UA and MQTT, which enhances reliability and ensures continuous operation. Our dedicated team of IoT experts is readily available to offer assistance, providing troubleshooting support and customized customer service to improve your overall experience. By allowing us to manage your digital solutions, you can focus on effectively operating your business without distractions. The entire system is conveniently packaged using Docker images, which simplifies deployment across various cloud platforms, including Azure and AWS, and guarantees both flexibility and scalability for your operations. This comprehensive approach enables businesses to harness the full potential of their IoT infrastructure.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Kazuhm

Date Founded

2017

Company Location

United States

Company Website

www.kazuhm.com

Company Facts

Organization Name

IoTSmart

Company Location

Mexico

Company Website

iotsmart.io

Categories and Features

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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