Learn how our APM software leverages advanced technologies such as AI and machine learning to predict equipment failure and process degradation.
The asset templates within Aspen Mtell enable companies to easily and quickly scale and deploy prescriptive maintenance solutions. Using pre-populated templates, you can set up sensor groups and quick...Interactive Infographic
Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to imple...White Paper
Plant engineers often face disjointed workflows and a lack of critical information to make quick, informed decisions when troubleshooting equipment issues. Now, with the Alert Manager functionality wi...Video
For chemical and petrochemical producers, reducing emissions and minimizing disruptions to process requires analyzing and monitoring vast amounts of disparate process data. Learn how Petrocuyo, Braske...Video
ORYX GTL Limited is a gas-to-liquids (GTL) diesel and naphtha producer located in Doha, Qatar. The company is committed to reducing its carbon production through the minimization of flaring. By implem...Case Study
Process industries like bulk chemicals, specialty chemicals and pharmaceuticals strive to optimize production processes with existing resources and data to remain competitive and profitable. By implem...Video
Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, lea...Video
See how Aspen Fidelis enables any engineer in any department to identify the cause of lost operational availability and justify important decisions.Video
Results That Speak For Themselves
Get early and accurate warning of when an asset failure will occur, how the failure will occur and what to do about it.
Get early and accurate warnings on process health deviations with insights to prevent off-spec product, maintain efficiency and rapidly optimize operations.
Prioritize spending by identifying facility bottlenecks, quantifying system capabilities and predicting future performance with accurate simulations of “what-if” scenarios.
Receive early and accurate warnings of product health issues to improve product quality, reduce waste and support PAT, in compliance with regulatory requirements.