Part 7/15:
A cornerstone of Apollo’s automation philosophy is harnessing real-time data streams from IoT-connected machinery. With thousands of machines streaming sensor data, the company employs advanced reasoning models and multi-step algorithms to identify issues and prescribe corrective actions dynamically.
This approach involves creating "reasoner workflows", multi-agent systems that analyze data across different factory segments and suggest strategies—such as adjusting machine parameters or scheduling maintenance—to optimize production cycles automatically.