Developers struggle to deploy machine learning models on resource-constrained devices efficiently.
Create a web platform that converts standard models to optimized formats for microcontrollers with simple APIs.
Charge based on model conversion complexity and deployment scale to IoT developers.
MVP could focus on ESP32 support for common model types before expanding.
Risk: Hardware fragmentation makes broad compatibility challenging.