The Agent Loop.In Silicon.
Agents think in loops, calling one model after another.
Phynomy runs the whole loop on a single chip.
A new kind of AI chip, built for agents.
The problem
Where the energy goes
Today's chips were built to run one big model from start to finish.
An agent loop works nothing like that.
The model lives far away
On a normal chip, each model lives far from where the work happens. Using it means hauling it across the chip first.
The loop never rests
An agent runs model after model, dozens of times in a single task — so that hauling barely stops.
Most power just moves models
Step after step, moving the models around burns more power than the thinking ever does.
It's like a genius who re-reads the whole manual before every sentence.
The answer
The whole loop stays on the chip
Three things ordinary silicon can't do.
It thinks where the model lives
The work happens right where a model's knowledge already sits — so there's almost nothing to move.
Every model stays loaded
Planner, coder, checker all live on the chip at once. Switching between them takes microseconds.
Hand-offs never leave the chip
Each step passes its work to the next without anything leaving the silicon.
Nothing reloads. The loop just runs.
The payoff
Far more thinking, for the same energy.
useful work per unit of energy
The evidence so far
Early work, grounded in results
The approach is demonstrated by independent labs,
the device is patented, and the core has been made in the lab.
Demonstrated independently
The approach behind it has been demonstrated in independent, peer-reviewed studies.
Patented at the core
The device at the heart of it is covered by granted patents.
Made in the lab
The core memory arrays have been fabricated and measured as physical devices.