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 – providing the first layer of protection against asset degradation.
Augment Current Strategy with Enterprise Scalability
Using AI-assisted agent creation, complement existing maintenance strategies to quickly deploy autonomous agents site- or enterprise-wide.
High Accuracy with Fewer False Alarms
Using precise failure pattern recognition, avoid the high rate of false positives common with model-based solutions.
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
Processing Magazine Breakthrough Product Award
Processing Magazine names Aspen Mtell as a “Breakthrough Product” of 2021
Technology Excellence Award
Singapore Business Review names Aspen Mtell winner of its 2020 Technology Excellence Award for AI Manufacturing
Best Asset Monitoring Technology
Hydrocarbon Processing names Aspen Mtell Best Asset Monitoring Technology for 2019
- Aspen Mtell and Aspen Fidelis™ integration enables risk quantification and drives data-driven decisions that align plant performance with operational and financial goals.
- Failure Mode and Effects Analysis (FMEA) library expedites decisions by incorporating ready-to-use templates and customer-supplied data to associate alerts with known problems and prescriptive actions.
- Aspen Mtell and Aspen Cloud Connect™ integration enables access to OPC UA supported devices.
- Aspen Maestro™ automates data preparation to build agents faster.
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...
OCP Ecuador Uses Prescriptive Maintenance to Accurately Identify Asset Failure and Reduce Maintenance Costs
In this case study, discover how OCP Ecuador used prescriptive maintenance to accurately identify asset failure and reduce maintenance costs. With three times the initial investment returned in less t...
Aspen Mtell® Delivers Higher Throughput, Greater Asset Availability and Lower Maintenance Costs for Veracel
Huge increases in demand mean pulp and paper manufacturers require that their equipment run more efficiently and for longer spans of time, without the need for constant maintenance oversight.
MOL Group Drives Digitalization in Partnership with AspenTech
In this customer success story, learn how MOL recently added Aspen Mtell® software from the AspenONE® Asset Performance Management (APM) software suite to its portfolio of AspenTech solutions to drive...
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.
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.
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...