Built by people from the
Intelligence should compound over time.
Today's AI systems do a surprising amount of the same work over and over. Computation happens, gets discarded, and is reconstructed on the next request.
We believe this is a fundamental limitation of current inference.
We are building infrastructure that lets AI systems preserve useful computational state and carry previous work forward.
Stateful inference + computational reuse + systems for persistent AI at scale
The objective is to make computation durable, addressable, and reusable.
As models become agents and interactions become continuous processes, state will need to become a native part of the system.
So we are building that layer.