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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Devices, objects, and vehicles from various manufacturers can be enhanced with smart capabilities through the use of sensor technologies. This advancement enables users to receive immediate insights from the data collected, allowing for maintenance only when absolutely necessary. In addition to quicker device recovery, the insights gained can help streamline processes, decrease expenses, and enhance energy efficiency. By employing both outdoor and indoor tracking methods, one can accurately identify the locations of individuals or items through sensors and various wireless technologies such as cellular networks, Wi-Fi, ultra-wideband, or Bluetooth. The range of applications is wide, including security enhancements in office environments and elevating customer experiences in retail settings. The advantages of these technologies encompass better utilization of workspaces, quicker responses during emergencies, and improved management of work processes. The market for these innovations is expanding, though the associated complexities are often overstated. Furthermore, smart facility management represents a contemporary strategy aimed at optimizing the organization and functionality of buildings, ultimately leading to increased efficiency and effectiveness in operations.

Description

By 2025, the Internet of Things (IoT) is expected to encompass 41 billion devices that will generate over 76 zettabytes of data. Organizations are increasingly implementing IoT initiatives to enhance manufacturing efficiency and ensure employee safety. Various sectors, including utilities, agriculture, energy, and healthcare, are leveraging networks of interconnected sensors to gather a plethora of observable and actionable insights. However, to unlock the full potential of IoT initiatives, it is crucial for data to be processed swiftly enough to influence decisions within microseconds. Additionally, the costs associated with data processing and storage must remain low to allow organizations to achieve a favorable return on investment. A novel distributed computing technology called Kazuhm is designed to facilitate the processing of IoT data directly across networks, on the devices where it originates, enabling ultra-low latencies and reducing costs compared to traditional cloud or edge solutions. This innovative approach not only optimizes data handling but also empowers businesses to respond to real-time insights more effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

DextraData

Founded

1995

Country

Germany

Website

www.dex7.io

Vendor Details

Company Name

Kazuhm

Founded

2017

Country

United States

Website

www.kazuhm.com

Product Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

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

Product 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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