"I would rather be a cyborg than a goddess." — Donna Haraway
Embedded systems engineering meets artificial intelligence. We build hybrid organisms at the intersection of silicon, language models, and live performance technology.
We fine-tune LLMs for hardware engineers — domain-specific models trained on ESP32, STM32, KiCad, SPICE, PlatformIO, DSP, and EMC documentation. Our models help embedded developers write firmware, design circuits, and debug hardware faster.
8 fine-tuned models and 9 curated datasets covering the embedded systems stack — from register-level STM32 programming to KiCad footprint generation and SPICE netlist analysis.
The street finds its own uses for things. — W. Gibson