Aspen Production Execution Manager reduces errors through an orchestration of production processes to improve product quality and consistency.

Use Aspen Verify's artificial intelligence to capture knowledge and check your plan to prevent refinery or olefins plant errors.

AspenTech was recognized during the 2nd annual “Awards of Excellence” ceremony which celebrates notable achievements throughout the Latin American downstream industry.

AspenTech is proud to be a Microsoft Gold partner, collaborating and establishing a close working relationship through this widely-recognized program. Our ongoing partnership has proven that these two market leaders are truly are better together, connecting assets, measuring their performance and improving business outcomes.

Working with Amazon Web Services (AWS), AspenTech has built a solution for historians and IoT data that effortlessly migrates real-time production data to Amazon Simple Storage Service (Amazon S3), providing object storage through a web interface.

Prioritizing spending decisions while accounting for all functions impacted can be overwhelming. Aspen Fidelis simulates a range of scenarios to provide the first line of defense for unquantified risk to overall plant performance and revenue.

Use AspenTech’s Operational Analytics to improve operator effectiveness, avoid production losses, and improve profits.

Built with your needs in mind. We are the premier technology partner for the world's most critical industries.

Transform how your organization works with AI embedded into AspenTech solutions. Gain insights, automate processes and improve operational efficiencies with built-in AI and domain expertise.

In today’s VUCA environment, organizations are turning to digitalization and industrial AI to develop autonomous and semi-autonomous processes that enable new levels of safety, sustainability and profitability. Learn how self-optimizing plants will enable companies to: empower next-generation workers to focus on the highest-value activities; improve safety and reliability with IoT predictive maintenance software; reduce downtime of plant operations by optimizing assets and equipment lifecycle; and achieve sustainability goals with reduced energy use and emission control.