The current generation of AI features being added to high-end homes all share one fundamental architectural decision: they run in the cloud.
At first glance, this seems like the obvious path. Cloud computing offers scale, constant updates, and relatively low upfront cost. For most consumer products, these advantages are meaningful.
However, when applied to serious residential environments, this model contains structural limitations that cannot be solved through better marketing or faster networks.
Latency is a physical constraint.
In a properly integrated home, decisions need to happen in tens of milliseconds, not hundreds. When a voice command, security event, or automation trigger must travel to a remote data center and return, the system is slow by definition. This is not a software optimization problem — it is a physics problem.
Reliability becomes someone else's responsibility.
Cloud-dependent systems degrade when your internet connection is unstable. They become unavailable during provider outages. They change behavior when the company updates its models or terms of service. For a property that expects consistent performance, this introduces unacceptable variability.
Privacy is not a toggle.
Every time cameras, microphones, or behavioral data leave the property, a permanent record is created outside the owner's control. For some, this is an acceptable compromise. For others — particularly those who invested in professional-grade integration — it is a fundamental mismatch with the expectations of a private residence.
Our position: This is why we build exclusively on local hardware. When the intelligence layer lives inside the building, these three problems are eliminated at the architectural level, not managed through policy.
The decision to go local or cloud is not about performance benchmarks. It is about whether the system architecture aligns with the owner's expectations for latency, reliability, and privacy. For serious homes, the cloud model introduces friction that no amount of optimization can fully remove.