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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 C3 AI Suite?

Effortlessly create, launch, and oversee Enterprise AI solutions with the C3 AI® Suite, which utilizes a unique model-driven architecture to accelerate delivery and simplify the complexities of developing enterprise AI solutions. This cutting-edge architectural method incorporates an "abstraction layer" that allows developers to build enterprise AI applications by utilizing conceptual models of all essential components, eliminating the need for extensive coding. As a result, organizations can implement AI applications and models that significantly improve operations for various products, assets, customers, or transactions across different regions and sectors. Witness the deployment of AI applications and realize results in as little as 1-2 quarters, facilitating a rapid rollout of additional applications and functionalities. Moreover, unlock substantial ongoing value, potentially reaching hundreds of millions to billions of dollars annually, through cost savings, increased revenue, and enhanced profit margins. C3.ai’s all-encompassing platform guarantees systematic governance of AI throughout the enterprise, offering strong data lineage and oversight capabilities. This integrated approach not only enhances operational efficiency but also cultivates a culture of responsible AI usage within organizations, ensuring that ethical considerations are prioritized in every aspect of AI deployment. Such a commitment to governance fosters trust and accountability, paving the way for sustainable innovation in the rapidly evolving landscape of AI technology.

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

C3 AI Ex Machina

API Availability

API Availability

Pricing Information

Competitive pricing structure based on number of sensors. Included unlimited users and AI model development.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

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

C3.ai

Date Founded

2009

Company Location

United States

Company Website

c3.ai/

Categories and Features

Artificial Intelligence

Machine Learning
Predictive Analytics
Rules-Based Automation

No-Code Development

AI-Assisted Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Templates
Visual Modeling

Root Cause Analysis

Not specified

Categories and Features

AI Development

Not specified

AI/ML Model Training

Not specified

Artificial Intelligence

For Healthcare
Machine Learning
Multi-Language
Predictive Analytics
Process/Workflow Automation
Virtual Personal Assistant (VPA)

IoT

Application Development
Big Data Analytics
Data Management
Device Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Oil and Gas

Compliance Management
Equipment Management
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

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