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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 AtomBeam?

There is no requirement to buy any hardware or alter your network setup, as installation is simply a matter of easily configuring a compact software library. By 2025, forecasts suggest that an astonishing 75% of the data created by enterprises, which amounts to 90 zettabytes, will be generated by IoT devices. For context, the total storage capacity of all data centers worldwide is currently less than two zettabytes combined. Alarmingly, 98% of IoT data is left unsecured, highlighting the urgent need for robust protection measures. Additionally, there are ongoing worries about the lifespan of sensor batteries, with few viable solutions expected to emerge soon. Many users also face challenges related to the restricted range of wireless data transmission. We envision that AtomBeam will transform the IoT landscape in a way similar to how electric light changed everyday experiences. Several obstacles hindering the broader acceptance of IoT can be overcome through the seamless implementation of our compaction software. By leveraging our technology, users can improve security, extend battery life, and broaden transmission capabilities. Furthermore, AtomBeam offers a significant opportunity for businesses to reduce costs associated with both connectivity and cloud storage, making it a highly attractive choice for those prioritizing efficiency. As IoT demand continues to climb, our innovative solutions provide a timely and effective response to the fast-evolving technological environment. In this way, we aim to not only address current challenges but also pave the way for a more interconnected future.

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

AtomBeam

Company Location

United States

Company Website

atombeamtech.com

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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