In continuous and semi-continuous processes, the window to intervene is small. Sight Machine agents watch parameters, find variation, and recommend adjustments before out-of-spec product is made.
Sight Machine maps your process parameters into a semantic model agents can reason on — tracking what matters, detecting what's drifting, and surfacing what needs to change across coil-to-coil, pulp-to-sheet, and melt-to-pour processes in time to act.
Agents track process parameters continuously and compare real-time values to the setpoint window that produces in-spec output — flagging deviations the moment they start, with context about what's changed and what the downstream impact looks like.
Agents build a model of what actually causes yield loss by correlating scrap events to process parameters, maintenance history, and input material properties — parameter adjustments that hold, yield that improves run after run.
Agents track energy consumption per unit of good output alongside process outcomes, identifying where poor process control drives waste and where degradation in the production system increases consumption. Furnace efficiency, drive performance, and cooling system health are all tracked and correlated to output quality and energy cost.
