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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Utilizing a microservices architecture for IoT backed by Kubernetes allows for limitless scalability and the ability to adjust resources as needed, all while maintaining high performance and resilience against failures. Streamline the data flow from your IoT devices to any analytics platform through a seamlessly integrated Kafka channel, enabling you to modify device behavior based on the insights gained from processing results. The creators of this platform bring over 25 years of expertise in IoT, telecommunications, and big data, leveraging their extensive knowledge to develop an exceptional IoT solution suitable for both large enterprises and emerging startups. Your data remains secure with encryption both during transmission and while stored. Additionally, the platform offers built-in user authentication and authorization features via an open OAuth2 / UMA interface. Easily connect and manage IoT devices through a cloud-based graphical user interface or a RESTful API. Gather and visualize telemetry data using the integrated dashboard or utilize third-party tools such as Grafana for enhanced analysis and presentation of data insights. This comprehensive IoT platform ensures that you have the tools necessary to effectively handle your data and device management needs.

Description

SeeControl serves as a cloud-based IoT platform that empowers businesses to collect, visualize, and analyze real-time data from multiple IoT devices without the need for programming expertise. The platform provides a wide range of functionalities, including data gathering, device oversight, analytical tools, connectivity options, reporting features, and management of configurations. By linking devices through IoT gateways, it supports the creation of comprehensive IoT solutions that enable real-time asset monitoring and advanced analytics, including machine learning, to yield practical business insights. The technology framework of SeeControl covers all four essential layers of the IoT ecosystem: devices, connectivity, core IoT capabilities, and applications along with analytics. This cohesive strategy streamlines the implementation of IoT initiatives across diverse sectors and benefits a variety of clients, such as ABB, HP, and Fujitsu, highlighting its versatility and effectiveness in addressing industry-specific challenges. As organizations increasingly seek to leverage IoT technology, SeeControl stands out as a vital partner for driving innovation and efficiency.

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

KaaIoT Technologies

Country

United States

Website

www.kaaproject.org

Vendor Details

Company Name

SeeControl

Country

United States

Website

seecontrol.com

Product Features

IoT

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

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

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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