COMPILER ARCHITECTURE

Deterministic edge execution.

Our compiler translates complex neural networks into lean, native machine code. Run deep learning model inference directly on legacy microcontrollers with zero cloud dependency and no hardware upgrades.

Macro shot of a legacy industrial microcontroller chip on a dark circuit board, cool blue technical highlights, low-key lighting.
Macro shot of a legacy industrial microcontroller chip on a dark circuit board, cool blue technical highlights, low-key lighting.
OPTIMIZATION ENGINE

Silicon-level model compression.

We compress deep learning models up to ninety percent. Our engine strips redundant parameters while preserving absolute inference accuracy on the factory floor.

By compiling networks directly to deterministic C code, we bypass heavy runtime environments. Your existing legacy controllers execute complex computer vision and predictive models instantly.

BENCHMARK METRICS

Verified inference speed.

90%

Footprint reduction

0.8ms

Local latency

100%

Data sovereignty

EVALUATION KIT

Hardware evaluation kit.

Request an evaluation kit to benchmark our compiler on your specific hardware. Our engineering team provides complete integration templates for standard industrial PLC systems.