Real buildings do not behave like labs or warehouses.
Most robots perform well in controlled environments. Buildings where people live are different: narrow hallways, elevators, interruptions, children, guests, and behavior that changes by the hour.
The failure mode is rarely dramatic. It is supervision. The moment a human has to watch closely, step in, or work around the robot, autonomy is already breaking down. At scale, that friction becomes the product.
The infrastructure that helps robots work safely in buildings where people live.
We build the systems that make robot behavior reliable in shared human environments.
Each deployment becomes a source of memory and adaptation, so autonomy improves over time and scales with less supervision.
Lily is a proving ground, not the business. She exists to surface the edge cases that quietly kill autonomy, and turn them into platform capabilities.