Technology That Loves Complexity
Get early and accurate warning of when an asset failure will occur, how the failure will occur and what to do about it.
Creating a World that Doesn't Break Down
Recognize patterns in operating data that predict degradation and impending failure – well before it happens.
High Accuracy with Fewer False Alarms
Using precise failure pattern recognition, avoid the high rate of false positives common with model-based solutions.
Optimize asset performance by identifying the earliest signs of impending failure and use that data to make decisions to mitigate the event.
Fast Time to Deployment
Using low-touch machine learning, rapidly identify normal and abnormal behaviors to start protecting equipment within weeks, not months.
Award-Winning AI Technology
Singapore Business Review names Aspen Mtell winner of its 2020 Technology Excellence Award for AI Manufacturing
Hydrocarbon Processing names Aspen Mtell Best Asset Monitoring Technology for 2019
Aspen Mtell prescriptive maintenance software stops machines from breaking down, makes them perform longer, reduces maintenance costs, and drives increased production.
Prescriptive Maintenance: Transforming Asset Performance Management
Prescriptive maintenance technology is transforming how companies manage asset downtime. With more advance warning of equipment failures comes more opportunity to mitigate the negative impact of those...
Win the Game with Early Alerts – There's No Time to Lose
Digitalization, IIoT and Industry/Industrie 4.0 are essential to provide a platform for businesses to respond to industry changes. What does that mean?
Aspen Mtell: What is an Agent?
Aspen Mtell is a prescriptive maintenance solution that uses Agents to recognize asset failures earlier and with greater accuracy. Learn what an Agent is, what they do, how they are created, and how t...
To Stay Ahead of Equipment Problems, You Need Anomaly and Failure Detection
The first in a series of posts on key factors to consider in selecting asset performance management solutions.
Maximize Mining Equipment Effectiveness, Minimize Margin Loss
Mining companies invest heavily in equipment for all stages of mining, mineral processing, refining and distribution. By monitoring asset condition and behavior and developing profiles of normal oper...
Aspen Mtell Brochure
Learn how Aspen Mtell uses machine learning to recognize precise patterns in operating data that indicate degradation and impending failure—well before it happens.
Case Study: Prescriptive Maintenance Software Helps Saras Improve Business Performance and Drive Operational Excellence
As part of an effort to drive reliability in its refinery operations, Saras turned to Aspen Mtell prescriptive maintenance to improve equipment uptime and decrease maintenance costs. Learn how Saras e...