Absolute Privacy
Process sensitive data locally without transmitting it to the cloud. Your interactions stay inside your home.

The ultimate edge AI appliance. Uncompromising local processing power wrapped in a sophisticated, privacy-first companion platform.
A hybrid architecture blending intense local compute with expansive cloud capability, designed for privacy and persistent context.
Process sensitive data locally without transmitting it to the cloud. Your interactions stay inside your home.
Run local LLM and vision models instantly, with cloud reasoning available only when the task calls for it.
Local vector memory preserves long-term context so your AI companion can evolve with your household.
Compute remains local while secure access follows you through the app when you are away from home.

Experience a 24/7 proactive companion. Through customizable character roles, the Hub becomes a nuanced, context-aware presence that anticipates needs and manages digital life with distinct personality profiles.
Find specific moments in thousands of photos using natural language.
Direct NVMe slots and SATA support for redundant storage pools.
Stream media natively to household devices inside the local network perimeter.

Transform your Hub into an intelligent NAS. Local NPU and GPU hardware can index, process, organize, and transcode large photo and video libraries without cloud latency.
Explore Media CapabilitiesDedicated silicon for fast 4K and 8K video processing.
Custom-tuned silicon architecture designed for local LLM inference and continuous vision processing. Available in two distinct performance tiers.

Powered by the RK3588. Ideal for smart home automation, companion AI, and ambient sensing.
Uncompromising performance for researchers and developers, capable of running quantized 7B parameter models locally with near-zero latency.
Select the hardware foundation that fits your inference requirements.
The entry point for persistent local AI assistants and smart home orchestration.
For developers and power users demanding high-parameter local LLMs and dense video analytics.