Observed arrival · 2026-09-01
Acaysia Wants to Control the Impossible
Acaysia presents a real-time optimization system for physical processes, starting with chemical reactors and aiming to extend across industrial unit operations.
Field notes
The system models a plant from operational data and known physics, then evaluates control trajectories against yield, energy, throughput, and stated limits. The page identifies MPPI as the control method and says retraining stays on-premises with versioned rollback. Its current proof point is continuous stirred-tank reactor hardware, where deployment begins in shadow or advisory mode before control authority increases; the site also describes a sub-100-millisecond handoff to existing PID control when a fault occurs.
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