Cloud ML APIs add latency and cost for simple classification tasks. On-device models solve this but are hard to optimize.
Create a marketplace of pre-optimized models for common use cases (spam detection, sentiment analysis) targeting specific hardware.
App developers would pay for models that reduce their cloud costs and improve responsiveness.
Start with a few CoreML/TFLite models for Apple Silicon.
Risk: Requires keeping pace with rapidly evolving hardware.