The Reality
When the world stops cooperating,
trust breaks first.
Most robots work in controlled environments. Lived spaces 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 lived spaces.
We make robot behavior reliable in shared human environments.
Then we make it repeatable across lived spaces, 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.