AspenTech Industrial AI™ is a game-changing technology for the process industries, combining the speed and power of AI algorithms with the efficiency and parameters of real-world domain expertise. Our purpose-built AI solutions bring together data insights, engineering fundamentals, asset knowledge and industry expertise, enabling companies to adapt and respond quicker to ever-changing business needs.

Digital technologies are revolutionizing olefins production by optimizing processes, output and feedstock utilization. For global petrochemicals leader Borouge, digitalization is crucial to boosting efficiency and productivity, advancing sustainability efforts and providing innovative polyolefin solutions for industries around the world.

Frequent changes in refinery operating conditions cause planning models to fall out of sync with actual conditions, making them less reliable. At the same time, updating these models is complex, often forcing refineries to turn to expensive third-party consultants.

Aspen Technology is pleased to announce the release of AspenTech V15—a transformative update designed to help organizations harness the full power of industrial AI, sustainability-driven innovation, and enhanced user experiences—all geared to helping customers improve operational performance.

Accelerate your clean energy transition with the power of aggregated distributed energy resources.

Discover why trust in AI data is going downhill. Explore the critical challenges of data quality affecting artificial intelligence and what it means for the future of AI.

The latest features in Aspen GDOT™ V15 offer a new flexible online optimization approach that caters to a wide range of applications, including broad production envelopes, high-value reactors and small-scale column applications.

Software Hardware Innovation All Needed to Upgrade the Power Grid

Process engineers working with specialty chemicals often face the challenge of optimizing production systems—consisting of both batch and continuous processes. However, modeling these mixed processes can be complex and time-consuming. 

Fermentation modeling is essential for advancing sustainability initiatives such as biomass feedstocks and Sustainable Aviation Fuel (SAF); however, accurately simulating biological processes and scaling production can be complex.