Whitepaper
On-device intelligence for the connected home
A technical look at how ASoc keeps automation fast, reliable and private.
Abstract
This paper outlines our approach to running compact machine-learning models locally on home hardware, and the trade-offs that make local-first intelligence practical at scale.
Architecture
We describe the layered system that lets devices coordinate through a local hub, falling back gracefully to cloud sync only when necessary.
Results
Across thousands of households, local processing reduced average automation latency while shrinking the amount of personal data leaving the home to near zero.
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