AI beyond the limits of the LLM stack.
A new AI-on-Chip architecture for embedded, sovereign, and low-power intelligence.
Auroxeon is building SurfaceEDGE for markets that current LLM architectures cannot economically or physically reach: embedded systems, industrial controllers, vehicles, defence platforms, sovereign edge infrastructure, low-power autonomous systems, and Net Zero compute environments.
Surface EDGE Processor — 3-die 3D IC stack · 3nm logic · 4nm SRAM · 5nm STT-MRAM
One device. One Geode.
Every SurfaceEDGE deployment runs one Geode — a single complete Surface instance on one chip or edge compute node.
Learns as it runs. No retraining. Traceable decisions. No cloud. Self-healing silicon. 88–92% yield. Sub-35ms latency at the source.
Deployment forms
Custom AIoC semiconductor
Geode committed to silicon. The chip is the AI.
Industrial edge appliance
Geode on ruggedised compute. Factory floor, energy, utilities.
IoT embedded device
Geode on low-power hardware. Learns in the field. No connectivity needed.
Autonomous system module
Geode in the control layer. Deterministic decisions. Every reasoning path traceable.
Markets
SurfaceEDGE serves markets large language models cannot reach.
- Defence and autonomous platforms — air-gapped, deterministic, no cloud dependency
- Industrial automation — factory floors, process control, predictive maintenance
- IoT at scale — one Geode per device, learns as it runs, no retraining
- Autonomous vehicles and robotics — traceable reasoning within real power budgets
Build with SurfaceEDGE
Licensing, application notes, and engineering support available.