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What is Imubit?

Imubit’s AI-driven platform offers real-time, closed-loop optimization for processes within heavy industries by combining a dynamic process simulator, a reinforcement-learning neural controller, and performance tracking dashboards. The dynamic simulator harnesses a wealth of historical data alongside fundamental principles to construct a virtual model of actual processes, enabling what-if scenarios that explore the interactions among variables, shifts in constraints, and modifications in operational tactics. In parallel, the reinforcement-learning controller, which has been developed through extensive offline training with millions of trial-and-error scenarios, serves to continuously refine control variables, boosting profit margins while maintaining compliance with safety regulations. The real-time dashboards provide insights into model availability, user activity, and operational uptime, complemented by interactive visualizations that illustrate boundary conditions, operational thresholds, and trends in vital performance metrics. This advanced technology finds its applications in aligning economic strategies with real-time data and spotting instances of process decline, thereby promoting heightened efficiency and safety across operations. By adopting this holistic strategy, industries are better equipped to respond promptly and effectively to evolving conditions, ultimately leading to more resilient operations.

What is Bevywise IoT Simulator?

Establish an IoT simulator capable of transmitting real-time messages either within defined ranges or derived from a selection of random values, determined by time and the client. This configuration should replicate dynamic messages in both TEXT and JSON formats, closely resembling genuine IoT devices. It will accommodate four distinct types of dynamic values for message transmission, which include system variables such as timestamps and client identifiers, in addition to random, range, linear, and constant values to facilitate diverse data publication in each sequence, thereby ensuring alignment with actual device behavior. Moreover, you can set up IoT events by utilizing your personalized dataset, which can be uploaded via the CSV Importer feature. Each command sent to the edge device or IoT endpoint will elicit a response from the device once the requested action has been executed. To craft realistic scenarios, you can implement behavior simulation, an automated response mechanism that reacts to subscribers based on the messages and topics it encounters. When a simulation request is received, the connected virtual devices will commence data publishing to the specified endpoint, thereby effectively mirroring real-world interactions within the IoT framework. This comprehensive setup significantly elevates the realism of the simulations, enabling a more precise representation of the dynamics within the IoT ecosystem and fostering enhanced testing and development opportunities.

Media

Media

Integrations Supported

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$599 per year
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Online Training

Company Facts

Organization Name

Imubit

Date Founded

2016

Company Location

United States

Company Website

imubit.com

Company Facts

Organization Name

Bevywise Networks

Date Founded

2016

Company Location

United States

Company Website

www.bevywise.com/iot-simulator/

Categories and Features

Industrial AI

Not specified

Industrial Automation

Not specified

Categories and Features

IoT

Not specified

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