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OPUS
Industrial AI Platform - Predict. Diagnose. Optimize.
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OPUS - 2026 Pricing, Features, Reviews & Alternatives
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Last updated: October 2026
OPUS overview
What is OPUS?
OPUS is an industrial AI platform that enables engineers and subject matter experts to build and deploy no-code AI models using real-time and historical operational data. It is designed to help organizations predict equipment failures, detect deviations, identify contributing factors and optimize asset and process performance without requiring specialist data science or programming skills.
OPUS connects with existing industrial data sources including data historians, SCADA, DCS, PLCs, sensors, laboratory systems and third-party data. Its Model Wizard enables users to develop models through a guided workflow, with automated model deployment, refreshing and results visualization. Users can monitor model outputs through dashboards and alerts, investigate contributing factors and use predictive insights to support maintenance and operational decisions.
The platform supports applications including predictive maintenance, reliability, deviation detection and process optimization. Models can be applied across individual assets, equipment groups or entire facilities, enabling organizations to scale AI across critical operations. OPUS is available through flexible deployment options and is designed to work with existing infrastructure rather than requiring organizations to replace their current industrial systems.
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OPUS's key features
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OPUS alternatives
OPUS
Starting from
0.01
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Per year
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OPUS pricing
Value for money rating:
Starting from
0.01
/user
Per year
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OPUS integrations (2)
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