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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 INCA MPC?

Advanced Process Control (APC) serves as an effective means to boost your plant's operational efficiency without necessitating any changes to hardware. By deploying an APC application, you can achieve stable operations while optimizing either production output or energy consumption, which in turn grants valuable insights into your manufacturing workflows. This concept includes a diverse set of methodologies and technologies that enhance basic process control systems, which are mainly built upon PID controllers. For instance, technologies associated with APC feature LQR, LQC, H_infinity, neural networks, fuzzy logic, and Model-Based Predictive Control (MPC). An APC application works tirelessly to optimize plant performance every minute of every day, ensuring that operational efficiency remains consistent. Among these different techniques, MPC is particularly prominent in the industry because it employs a process model to anticipate the plant's performance in the near term, usually from a few minutes to several hours ahead, thereby offering a tactical edge in operational management. By continuously refining processes, APC not only enhances immediate efficiency but also plays a crucial role in achieving long-term sustainability objectives, making it an essential component of modern industrial practices. The integration of these advanced strategies can lead to significant improvements in both productivity and environmental impact.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows

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

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Imubit

Date Founded

2016

Company Location

United States

Company Website

imubit.com

Company Facts

Organization Name

Inca Tools

Company Location

Netherlands

Company Website

www.incatools.com/advanced-process-control/

Categories and Features

Industrial AI

Not specified

Industrial Automation

Not specified

Categories and Features

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