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AMR fleet data infrastructure at scale: Four Problems and How to Solve Them

· 7 min read
Leif-Birger Hundt
Building the data layer for scalable robotics & industrial AI

You deployed ten robots. The system worked. Now you have a hundred, and your engineering team is complaining about things that didn't exist six months ago: storage filling up on edge devices, cloud bills growing faster than the fleet, retraining cycles that take weeks instead of days, and incident investigations lack the data they need.

This is a predictable consequence of crossing a scaling threshold that almost every AMR operator hits.