About Phynomy
The silicon layer for the inference era
Phynomy is a deep technology company designing novel silicon architectures for AI inference. Our research starts from the physics of computation — building chips purpose-engineered for the workloads that power modern AI.
Focus
Inference Silicon
Approach
Physics-First Design
Domain
Deep Tech R&D
Our Mission
Make inference sustainable
Every deployed AI model needs inference. Running them shouldn't require unsustainable energy or ballooning costs.
The Insight
Training hardware was never built for inference
Current chips are designed for training — a fundamentally different workload. Using them for inference is like using a freight train for last-mile delivery. It works, but the waste is enormous.
Our Response
Start from the physics. Build only what's needed.
We study how inference computation actually works — memory access patterns, energy flow, operation structure — and design silicon that adapts to the model, not the other way around.
Leadership
Founded by builders
Deep tech expertise. Decades of research. Global operational experience. A shared conviction that inference needs its own silicon.
Systems architect with deep experience shipping products at scale. Leads product strategy, commercial partnerships, and go-to-market.
Semiconductor researcher with decades in VLSI design and energy-efficient computing. Leads chip architecture, R&D, and engineering.
Principles
How we build
Physics First
Every decision starts with the physics. We optimise for real-world energy and latency, not benchmarks.
Adaptive by Design
Models evolve fast. Our architecture adapts to new model families without re-fabrication or recompilation.
Built to Ship
Not research prototypes. Production-grade chips designed for deployment from day one.
Join the mission
We're looking for people who want to build the foundation of efficient AI.
Get in Touch