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What is OPUS?

OPUS stands out as a premier no-code AI platform designed specifically for the industrial sector, enabling users to effectively model both equipment and processes. By utilizing OPUS, organizations can access a wide array of benefits including insights for process optimization, predictive maintenance, reduced energy consumption, enhanced productivity, precise forecasting, greater asset reliability, diminished maintenance expenditures, improved planning capabilities, and valuable ESG reporting with carbon reduction insights. Teams can leverage this platform without needing any programming skills, allowing them to extract insights from their data and anticipate future scenarios effortlessly. Dive deeper into your asset's data like never before, revealing unforeseen correlations that may not have been immediately apparent. Conducting root cause analysis on specific components can help direct your efforts where they matter most, ensuring efficient use of resources. The automated AI predictive insights provided by OPUS enable strategic planning for interventions and empower you to make well-informed business decisions confidently. With the capability for rapid deployment and receiving AI model results in mere minutes after creation, organizations can harness the full potential of their existing operational data, leading to tangible returns on investment with the expertise of their current team of asset engineers, operators, and maintenance managers. Transform your entire facility, plant, or work site by tapping into the remarkable potential of automated AI and witness the significant improvements in operational efficiency and effectiveness. Seize the opportunity to elevate your industrial processes to new heights with OPUS.

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

AVEVA PI System
AWS App Mesh
Aspen HYSYS
Azure Industrial IoT
ControlST
FactoryTalk Historian
Microsoft Entra ID
PowerLogic ION EEM
Siemens APM

Integrations Supported

AVEVA PI System
AWS App Mesh
Aspen HYSYS
Azure Industrial IoT
ControlST
FactoryTalk Historian
Microsoft Entra ID
PowerLogic ION EEM
Siemens APM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

VROC

Date Founded

2016

Company Location

Australia

Company Website

vroc.ai/products/opus/

Company Facts

Organization Name

Inca Tools

Company Location

Netherlands

Company Website

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

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

No-Code Development

AI-Assisted Development
Business Process Automation
Collaborative Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Requirements Management
Templates
Visual Modeling
Web / Mobile App Development
Workflow Management

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