Convergence
For two decades the smart home has been a graveyard of good intentions: rule-based, fragmented, stateless, reactive, ecosystem-locked. It failed because it never had a brain — only switches dressed up as schedules.
Three forces have arrived at the same time. Large models can finally reason about context. Ambient interfaces — glasses, earbuds, vehicles, humanoid robots — are no longer speculative. And physical AI systems are shipping. The substrate is ready for an operating context layer.
Why now
ChatGPT, Claude, Grok and Gemini are racing toward parity. Their individual moats erode every release cycle. The durable substrate is not the model — it is the environment the model operates inside: the people, rooms, objects, preferences, routines, relationships and spatial topology of a specific physical place.
That substrate has to live somewhere. We are building it.
Model-agnostic by design
Cauchy Agent is MCP-compatible from day one. Any frontier model can call it — today, and the ones we don't have names for yet. As reasoning improves, Cauchy gets better automatically. This is the same dividend operating systems collect from each generation of silicon.
Local first, always
Sensitive actions require permissioned autonomy. Every decision is explainable. Memory and execution live on hardware the user owns. This is not a feature — it is the only architecture compatible with the intimacy of the spaces we are entering.
The category
This is not another smart-home company. It is not an assistant, not an automation platform, not a chatbot. It is infrastructure for the physical AI era — a category that does not yet have a settled name.
Environment Runtime Systems. Operating systems for intelligent physical spaces. The persistent layer beneath the interchangeable mind.