Industrial leaders understand that AI success depends on more than algorithms, it requires a strong, connected data foundation. While purpose-built Industrial AI can deliver value on its own, organizations that effectively manage and contextualize data are better positioned to scale impact and sustain competitive advantage.

Aspen InfoPlus 21® (IP.21™) is a real-time historian designed for process industries like refining and specialty chemicals.

In today’s ever-changing upstream environment, companies must operate with greater agility to meet market demands, maximize margins and save energy.

Aspen InfoPlus.21 (IP.21) is an industrial process historian built for the process industries. It collects and stores large-scale industrial data for real-time monitoring, advanced analytics and reporting.

At a time when industries are under increasing pressure to drive efficiency, lower emissions and adapt to rapidly changing demands, AspenTech V15 is purpose-built to meet these critical challenges head-on.

Accessing real-time operational data from your operating assets is just the first step.

Life science companies face unique challenges in unifying data across clinical and manufacturing systems, especially in highly regulated environments.

AspenTech Inmation™ is a purpose-built industrial data fabric that unifies and contextualizes data across operational and enterprise systems, empowering pharmaceutical manufacturers with end-to-end visibility. By bridging OT and IT environments, including ERP platforms, quality management systems, and cloud analytics, AspenTech Inmation enables seamless data exchange to support more connected, data-driven operations. This scalable infrastructure helps pharma companies enhance efficiency, ensure compliance, and prepare for the future of digital manufacturing.

aspenONE Process Explorer (A1PE) is a comprehensive, flexible and connected solution that integrates full visualization and analysis tools for monitoring a wide variety of data.

Access to operational data is only the beginning—turning that data into meaningful insights requires the right tools.