Aquileo | OPUS Reviews in 2026

Audience

Reliability Engineers, Asset Engineers, Subject Matter Experts, Operations Managers, Maintenance Managers, Operation Engineers, Instrument Engineers, Production Supervisors, Rotating Engineers, Maintenance Supervisors, Static Engineers, Oil and Gas, Energy, Water Utilities, Power Utilities, Mining and Resources

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.

Without any programming or coding experience teams can analyze their data, predict future performance, identify opportunities to reduce power consumption, improve productivity, and make adjustments to settings which can drastically improve operational outcomes.

Dive deeper into your asset's data than ever before. Discover unexpected correlations that existed unnoticed, and root cause analysis into individual components so you can focus your efforts.

Improve safety, compliance and environmental outcomes through artificial intelligence predictive insights, allowing you to plan interventions and make informed business decisions.

With rapid deployment & AI model results in just minutes, you can unleash the power of your operational data and experience ROI.

Optimize your entire facility, plant or worksite.

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Pricing

Pricing Details:

Competitive pricing structure based on number of sensors. Included unlimited users and AI model development.

Integrations

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Ratings/Reviews

Overall 0.0 / 5

ease 0.0 / 5

features 0.0 / 5

design 0.0 / 5

support 0.0 / 5

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Videos and Screen Captures

asset overview showing predicted degradation

Detail page showing degradation of an asset

Time to failure predictive model insights

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Product Details

Platforms Supported

Cloud

Training

Documentation

Live Online

Webinars

In Person

Videos

Support

Phone Support

24/7 Live Support

Online

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