--- title: OPUS Reviews meta_title: 'OPUS Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter reviews by the users' company size, role or industry to find out how OPUS works for a business like yours. aggregate_rating: rating_value: 3.8 review_count: 2 scale: '5' date_modified: '2026-06-22' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # OPUS Reviews **Vendor:** VROC **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 3.8/5.0 **Total Reviews:** 2 ## About OPUS OPUS is a leading industrial no-code AI platform that allows users to model processes and equipment to identify opportunities for optimization and predictive maintenance. OPUS's real-time insights allow your team to make informed business decisions at every step. Without any programming or coding experience teams can build models to: - Predict when the next failure of undesirable event will occur, - Predict what a value will be in the future, - Identify the root cause of an event, - Identify when equipment or process is degrading or not operating correctly, - Predict when equipment maintenance is required, - Identify opportunities to reduce power consumption, - Identify opportunities to improve productivity, - Optimize settings to improve operational outcomes. Dive deeper into your asset's data than ever before. Discover unexpected correlations that existed unnoticed, and root cause analysis down into individual component level, so you can focus your maintenance efforts. Designed as an enterprise solution, for a holistic view across all plants and facilities. Users can build their own dashboards, set up alerts and stay updated at all times, as macro or micro as they wish. OPUS can be deployed within four weeks and there are no limitations to the number of models you can develop, or individual user costs. Models can be built and deployed in minutes, refreshed based on live operational data continuously. These features allow you to unleash the power of your operational data and experience ROI in next to no time. ## OPUS Reviews ### 1. Opus for state inspections. **Rating:** 4.0/5.0 stars **Reviewed by:** Joe G. | President/COO, Small-Business (50 or fewer emp.) **Reviewed Date:** May 07, 2026 **What do you like best about OPUS?** Tech support has a high sense of urgency. **What do you dislike about OPUS?** The hardware seems to fail too frequently. **What problems is OPUS solving and how is that benefiting you?** We use OPUS for our state emissions inspection service. When the hardware is fully functional, it makes the process quick and painless. ### 2. 7 out of 10 **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** October 21, 2023 **What do you like best about OPUS?** Quick assess to information and how everything is accessible for the customer profile info **What do you dislike about OPUS?** Some of the processes could be streamlined **What problems is OPUS solving and how is that benefiting you?** Error messages that are irrelevant - [View OPUS pricing details and edition comparison](https://www.g2.com/products/vroc-opus/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-29+20%3A57%3A54+-0500&secure%5Bsession_id%5D=4c6d2b20-7dd9-45a5-b071-0c9d3ce254dd&secure%5Btoken%5D=52b5a155ce23eedb37f7c143d643d60a451b8e990eb1dd197e3af82e1809d763&format=llm_user) ## OPUS Features **Data Management** - Aggregation - Data Models - Propagation - Data Collection - Cleansing **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Condition Monitoring** - Predictive Inspection - Monitoring - Condition-Based Maintenance - Asset Types - IoT Monitoring **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Integration - Machine Learning** - Integration **User Interface Design** - WYSIWYG Editor - Customized Branding - App Templates - Workflow Management **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Analytics** - KPIs - Real Time - Dashboards **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Detection & Identification** - Failure Detection - Source Identification - Proactive Alerts **Operations** - Metrics - Infrastructure management - Collaboration **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Data Control** - Data Migration - Data Synchronization - Data Security **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Analysis & Insights** - Root Cause - Recommendations - Systemic Risks **Management** - Cataloging - Monitoring - Governing **Agentic AI - Manufacturing Intelligence** - Proactive Assistance **Publishing** - Application Deployment - Platform Compatibility - Lifecycle Management **Deployment** - Managed Service - Application - Scalability **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - No-Code Development Platforms** - Adaptive Learning - Natural Language Interaction - Proactive Assistance **Agentic AI - Predictive Maintenance** - Natural Language Interaction **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top OPUS Alternatives - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (758 reviews) - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - 4.3/5.0 (652 reviews) - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) - 4.3/5.0 (521 reviews)