Autonomous decision-making agents that close the loop from detection to action. They reason across sensor streams, maintenance logs, and production schedules to plan, call custom analytic/ML tools, and execute multi-step interventions.
Sensor-fusion models — vibration, temperature, current, and acoustic data — aimed at flagging equipment anomalies before failure and estimating how much service life an asset has left.
Machine vision inspection for surface defects and dimensional deviations. Systems are tailored to your production line and can be deployed on the edge or in the cloud.
