About Phynomy
The silicon layer for the inference era
Phynomy is a deep-technology company building new silicon for AI inference. Our work starts from the physics of computation — chips designed for the workloads that actually power modern AI.
Our mission
Make inference sustainable
What limits AI now is energy — the power it burns to think. Running the world's models shouldn't take unsustainable power, or runaway cost.
The insight
Training hardware was never built for inference
Today's chips were built to train models — a different workload. Using them to serve is like a freight train for last-mile delivery: it works, but the waste is enormous. And as agents call model after model, that waste compounds.
Our response
Start from the physics. Build only what's needed.
We study how inference actually runs — where memory sits, where the energy goes, how the work is shaped — and design silicon that adapts to the model it's running.
Principles
How we build
Physics first
Every decision starts with the device physics. We optimize for how it runs in the real world — energy and latency under load.
Adaptive by design
Models evolve fast. New model families run on the same silicon by recompiling — no refabrication.
Engineered toward production
Granted patents and memory arrays already fabricated and measured — real foundations under a clear path to a production chip.