As the hydrogen economy continues to gain momentum, organizations are looking for faster, more efficient ways to design and deploy hydrogen projects. Growing pressure to meet sustainability targets is only increasing the demand to make these initiatives both viable and profitable.

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.

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.

View this interactive infographic to see how AspenTech’s transformative digital technologies are enabling pharma companies to boost efficiency and productivity and improve access to medicine.

AspenTech's Power Asset Optimization software solution enables you to reduce operating and maintenance expenses, optimize resource and purchase decisions.

Watch this video to see how digital solutions for pharmaceuticals can boost efficiency and productivity, improve access to medicine and accelerate your Pharma 4.0 journey.

The new solution features AspenTech Operational Insights™, a proven decision support capability that unites, correlates, analyzes and visualizes data from across an organization for fast, confident decision-making on those crucial items affecting emissions.

Carbon capture, utilization and storage (CCUS) is an essential pathway to meet net zero emissions targets. However, for capital-intensive industries to reach these commitments, it’s critical that companies have confidence in the efficient, widespread deployment of carbon capture projects worldwide.

Now more than ever refineries are looking for ways to improve production performance and meet sustainability goals. Join experts from BPCL Kochi Refinery as they share their experience—and best practices—in deploying real-time, Aspen HYSYS®-based digital twins for CDU, Delayed Coker and Hydrocracker units.

Mitsubishi Chemical Group Corporation, Japan’s largest chemical company, faced quality problems in the company's polymer manufacturing processes that could not be detected on time, resulting in impacts to production. Using Aspen Hybrid Models with Aspen Plus®, Mitsubishi Chemical Group Corporation had the opportunity to create a robust and performant model that accurately predicted quality issues and supported preventive actions.