AIPC™’s models track and predict KPIs such as yield, waste, energy use, and uptime.
If AIPC™ observes anomalous patterns indicative of process failure, or if it predicts a drop in KPIs, operators will be alerted so they can take corrective action.
AIPC™ models directly feed back into process control automation, so the factory automatically adapts to increase yields and avoid malfunctions.
AIPC™ enables a variety of useful capabilities for manufacturers. Our capabilities in prediction, alerting, and autonomous control assist in our customers’ future success and longevity.
Scaling Production to Multiple Facilities:
AIPC™ can track the output of each facility and allow you to identify root causes of underperformance.
AIPC™ can predict process failures before they occur, and localize impending failures to pieces of equipment that need repair.
AIPC™s reinforcement learning models can optimize processes to increase manufacturing yields and facility uptime, making factories more efficient.
AIPC™ can track metrics like energy use, resource consumption, emissions and optimize manufacturing processes to be more efficient and cleaner.
Cyberattacks can sabotage the function of industrial facilities. AIPC™ can identify process anomalies that indicate possible malicious attack, and send alerts or directly modify processes, to prevent dangerous accidents or performance degradation.