BUILDING ROBOTS THAT WORK
WHERE PEOPLE LIVE
LEARNING AND MEMORY LAYER
FOR REAL BUILDINGS
LEARNING AND MEMORY FOR REAL BUILDINGS
The Reality

When the world stops cooperating,
trust breaks first.

Most robots work in controlled environments. Real buildings do not stay controlled.

The failure mode is not dramatic. It is supervision. When humans start watching, autonomy is already gone. Scaling amplifies that friction.

System Philosophy
Why robots need memory →
What We Build

A learning and memory layer for robots in real buildings.

We make robot behavior reliable in shared human environments.

Then we make it repeatable across buildings, so deployments become more autonomous and less expensive over time.

Lily is a proving ground, not the business. She exists to surface the edge cases that quietly kill autonomy, and convert them into platform capabilities.

Field Notes

Transmissions