Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
The Robust Intelligence Platform is designed to integrate effortlessly into your machine learning lifecycle, thereby mitigating the risk of model failures. It identifies vulnerabilities within your model, blocks erroneous data from infiltrating your AI system, and uncovers statistical issues such as data drift. Central to our testing methodology is a singular test that assesses the resilience of your model against specific types of production failures. Stress Testing performs hundreds of these evaluations to gauge the readiness of the model for production deployment. The insights gained from these tests enable the automatic configuration of a tailored AI Firewall, which safeguards the model from particular failure risks that it may face. Additionally, Continuous Testing operates during production to execute these tests, offering automated root cause analysis that is driven by the underlying factors of any test failure. By utilizing all three components of the Robust Intelligence Platform in tandem, you can maintain the integrity of your machine learning processes, ensuring optimal performance and reliability. This holistic approach not only enhances model robustness but also fosters a proactive stance in managing potential issues before they escalate.
API Access
Has API
API Access
Has API
Integrations
AWS App Mesh
Amazon Redshift
Amazon SageMaker
Aspen HYSYS
Azure Blob Storage
Azure Industrial IoT
ControlST
DataRobot
FactoryTalk Historian
Google Cloud BigQuery
Integrations
AWS App Mesh
Amazon Redshift
Amazon SageMaker
Aspen HYSYS
Azure Blob Storage
Azure Industrial IoT
ControlST
DataRobot
FactoryTalk Historian
Google Cloud BigQuery
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
Robust Intelligence
Founded
2019
Country
United States
Website
www.robustintelligence.com
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
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization