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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
API Access
Has API
Integrations
AVEVA PI System
AWS App Mesh
Aspen HYSYS
Azure Industrial IoT
BlueCat Gateway
CloudFabrix
ControlST
Cyberint Argos Platform
Evolven
FactoryTalk Historian
Integrations
AVEVA PI System
AWS App Mesh
Aspen HYSYS
Azure Industrial IoT
BlueCat Gateway
CloudFabrix
ControlST
Cyberint Argos Platform
Evolven
FactoryTalk Historian
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
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
Product Features
IT Alerting
Alert Noise Reduction
Alert Routing
Dynamic Notifications
Enriched Incident Context
Escalation Policies
Incident History Audit
Multi-User Alerting
Multiple Alert Types
On-Call Management
Rich HTML Email Notifications
IT Service
Contract Management
IT Asset Management
Incident Management
Knowledge Management
Release Management
Self Service Portal
Service Catalog
Service Reporting
Ticket Management
