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Acaysia supports a wide range of chemical reactors including batch reactors, continuous stirred-tank reactors (CSTR), plug flow reactors, and specialty reactors used in chemical manufacturing, petrochemical, and pharmaceutical industries.

MPPI (Model Predictive Path Integral) control uses machine learning and predictive optimization to anticipate reactor behavior and make optimal decisions, unlike traditional PID which only reacts to current errors. This results in better yield, energy efficiency, and faster response to disturbances while maintaining safety.

Yes, Acaysia integrates seamlessly with existing PLCs from Rockwell, Siemens, and other major vendors via standard protocols including OPC UA and EtherNet/IP. No rip-and-replace required - it's a drop-in solution.

Shadow Mode is the first phase of deployment where Acaysia observes your reactor operations without making control decisions. This allows the ML model to learn your specific process. The system then progresses through Advisory Mode (recommendations only) before optional Closed-Loop Control with full automation.

Acaysia's failsafe system responds in under 1 second, automatically reverting to proven PID control or safe shutdown procedures when anomalies are detected. This ensures enterprise-grade safety for all operations.

Typical customers see 1%+ yield improvement and 2-5% energy reduction. For a mid-size chemical plant, this can translate to hundreds of thousands of dollars in annual savings, with payback periods often under 12 months.