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.
Maestro technology enables fast site or enterprise-scale rollouts.
Fast Time to Deployment
Using low-touch machine learning, rapidly identify normal and abnormal behaviors to start protecting equipment within weeks, not months.
Accelerate digitalization to achieve sustainability goals and drive operational excellence.
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 and Aspen Cloud Connect™ integration enables access to OPC UA supported devices.
- Aspen Maestro™ is a breakthrough collection of features within Aspen Mtell that tackles the biggest barriers in successful model building: data selection, data cleaning and creating context by incorporating domain expertise.
Identify the real underlying sources of variation in production processes that impact reliability and quality.
Aspen Event Analytics™
Operational analytics for the process industries
Everything is different. You’ve got a lot of decisions to make and you need to quickly compare options. Aspen Fidelis can simulate the range of scenarios and show you the impact on overall plant perfo...
Aspen Process Pulse™
Monitor, control and optimize processes with real-time visibility of all types of process and spectral data.
Delivering on the Promise of Prescriptive Maintenance
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...
Sardeolica Digitalizes Wind Farm Maintenance - Reducing Costs, Improving Uptime and Transforming Culture
In this case study, discover how Sardeolica used prescriptive maintenance to achieve maximum value and expects to reduce maintenance costs up to 10 percent per year.
30 Catches in 30 Days
Every day, AspenTech’s APM solutions help leading industrial companies “catch” potential equipment failures well in advance—giving valuable time back to production and increasing safety. In this inter...
How LUKOIL Avoids Downtime with Aspen Mtell®
In this video, learn how Aspen Mtell predictive maintenance enables LUKOIL to make decisions faster and increase reliability across the enterprise.
Energy Company Drives Innovation in Predictive Maintenance via Digital Transformation Program
When developing its highly successful digital transformation program, a leading European energy company turned to Aspen Mtell® for predictive maintenance. After deploying Aspen Mtell on more than 50 l...
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?
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 opera...