AI Home Core Slashes Cloud Dependency and Latency
ModusHome AI Home Core learns from users' voice commands related to smart home control and stores the results in its Home Intent Memory. For subsequent similar commands, it references the rules stored in Home Intent Memory to execute them quickly, without relying on a cloud LLM.
This architecture reduces cloud dependency, enabling faster response times and robust operation even during internet outages. It also lowers LLM costs and enhances privacy protection by minimizing the transmission of user data to external servers.
Over 12 weeks of testing, we evaluated how this architecture performs in practice. As the local hub learns more command patterns (3 → 48 items), it handles a growing share of requests on-device (34% → 85%), cutting cloud calls (46 → 11/ 12 weeks) and external data transmission (66% → 15%), which drives average end-to-end latency down from 1.75s to 0.48s.
