Imagine a control system that learns, optimizes in real-time, and integrates seamlessly with both field assets and cloud-native AI platforms.

This is the next chapter of industrial process automation.

Already implemented at the largest Oil refinery in the world, Software-defined control systems break the traditional link between hardware and logic.

This separation allows for dynamic control, centralized intelligence, and flexible deployment across complex industrial environments.

When integrated with time-series foundation models, these systems harness AI for intelligent loop control, advanced process optimization, and even reinforcement learning, driving unprecedented levels of performance in control environments.

‍

Watch/Listen

‍