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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Set up the IoT simulator to transmit real-time messages that can either fall within a specific range or derive from a random assortment of values, taking into account both time and client factors. The system should replicate dynamic messages in two formats, TEXT and JSON, closely mimicking the functionality of actual IoT devices. It will facilitate the transmission of four distinct types of dynamic values, including system variables like timestamps and client identifiers, as well as random, range-based, linear, and constant values, allowing for diverse data publication in each sequence to effectively align with genuine device behavior. Users can configure IoT events by uploading a predefined dataset via a CSV file using the CSV Importer feature. Each command dispatched to the edge device or IoT endpoint will generate a response from the device upon completing the requested action. Additionally, users can create realistic scenarios with automatic responses through Behavior Simulation, an engine designed to reply to subscribers based on the messages and topics received. Once a simulation request is initiated, the virtual connected devices commence data publication to the endpoint, ensuring seamless interaction within the simulated environment. This comprehensive setup enhances the realism of IoT simulations, bridging the gap between theoretical modeling and practical application.

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

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce

Pricing Details

$599 per year
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

Bevywise Networks

Founded

2016

Country

United States

Website

www.bevywise.com/iot-simulator/

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

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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Alternatives

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