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.
Seller
VROCLanguages Supported
German, English, Finnish, French, Indonesian, Japanese, Luxembourgish, Malay, Dutch, Polish, Portuguese, Russian, Spanish, Vietnamese, Chinese (Simplified)
Product Description
OPUS is a no-code AI platform used by a wide variety of process heavy industries for predictive maintenance, optimization and forecasting. With OPUS, non-data professionals can build models of their assets or processes in minutes to predict future outcomes and obtain real-time critical insights to improve business decisions and outcomes.
Overview by
Megan Finkelde
