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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

OPUS is a leading platform for industrial no-code AI that allows users to model equipment and processes. With OPUS you can benefit from: - Process optimization insights - Predictive maintenance - Lower power consumption - Increased productivity - Accurate forecasting - Increased asset reliability - Reduced maintenance costs - Improved planning - ESG reporting and carbon reduction insights Without programming or coding experience, existing teams can get insights from their data and predict future outcomes. Explore your asset's data deeper than ever before. Uncovering unexpected correlations. Root cause analysis can be done on individual components to help you focus your efforts. Automated AI predictive insights can help you plan interventions and make informed business decisions. With rapid deployment and AI model results within minutes of being built, you can unleash the power of your existing operational data and achieve real ROI, using your existing team of asset engineers, operators and maintenance managers. Optimize your entire facility, plant, or work site, discover the power of automated AI.

Description

Safeguard business service-level agreements by utilizing dashboards that enable monitoring of service health, troubleshooting alerts, and conducting root cause analyses. Enhance mean time to resolution (MTTR) through real-time event correlation, automated incident prioritization, and seamless integrations with IT service management (ITSM) and orchestration tools. Leverage advanced analytics, including anomaly detection, adaptive thresholding, and predictive health scoring, to keep an eye on key performance indicators (KPIs) and proactively avert potential issues up to 30 minutes ahead of time. Track performance in alignment with business operations through ready-made dashboards that not only display service health but also visually link services to their underlying infrastructure. Employ side-by-side comparisons of various services while correlating metrics over time to uncover root causes effectively. Utilize machine learning algorithms alongside historical service health scores to forecast future incidents accurately. Implement adaptive thresholding and anomaly detection techniques that automatically refine rules based on previously observed behaviors, ensuring that your alerts remain relevant and timely. This continuous monitoring and adjustment of thresholds can significantly enhance operational efficiency.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AVEVA PI System Yes 
AWS App Mesh Yes 
AXYVOR No 
Aspen HYSYS Yes 
Azure Industrial IoT Yes 
BlueCat Gateway No 
CloudApper iPaaS No 
CloudFabrix No 
ControlST Yes 
Evolven No 
FactoryTalk Historian Yes 
Microsoft Entra ID Yes 
PowerLogic ION EEM Yes 
SAP Store No 
Siemens APM Yes 
Splunk User Behavior Analytics No 
The Galileo Suite No 

Integrations

AVEVA PI System No 
AWS App Mesh No 
AXYVOR Yes 
Aspen HYSYS No 
Azure Industrial IoT No 
BlueCat Gateway Yes 
CloudApper iPaaS Yes 
CloudFabrix Yes 
ControlST No 
Evolven Yes 
FactoryTalk Historian No 
Microsoft Entra ID No 
PowerLogic ION EEM No 
SAP Store Yes 
Siemens APM No 
Splunk User Behavior Analytics Yes 
The Galileo Suite Yes 

Pricing Details

Competitive pricing structure based on number of sensors. Included unlimited users and AI model development.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

VROC

Founded

2016

Country

Australia

Website

vroc.ai/products/opus/

Vendor Details

Company Name

Cisco

Founded

1984

Country

United States

Website

www.splunk.com/en_us/products/it-service-intelligence.html

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics Yes 
Process/Workflow Automation No 
Rules-Based Automation Yes 
Virtual Personal Assistant (VPA) No 

No-Code Development

AI-Assisted Development Yes 
Business Process Automation No 
Collaborative Development No 
Data Aggregation and Publishing Yes 
Deployment Management Yes 
Drag & Drop Yes 
Integrations Management Yes 
Iteration Management Yes 
Performance Monitoring Yes 
Requirements Management No 
Templates Yes 
Visual Modeling Yes 
Web / Mobile App Development No 
Workflow Management No 

Product Features

IT Alerting

Alert Noise Reduction No 
Alert Routing No 
Dynamic Notifications No 
Enriched Incident Context No 
Escalation Policies No 
Incident History Audit No 
Multi-User Alerting No 
Multiple Alert Types No 
On-Call Management No 
Rich HTML Email Notifications No 

IT Service

Contract Management No 
IT Asset Management No 
Incident Management No 
Knowledge Management No 
Release Management No 
Self Service Portal No 
Service Catalog No 
Service Reporting No 
Ticket Management No 

Alternatives

Alternatives