Offline by Default
Your data stays in your home. LLM, ASR (Whisper), and TTS (Piper/Coqui) run locally.
Hello, I’m Lumi.
I’m the local personality of AIAssistant2. Everything runs privately on your device — from speech to automation — without data leaving your system.
Key features
Far-field Voice
Beamforming and noise suppression make wake-words and commands reliable across the room.
Skills Engine
Modular skills with local permissions. Extend with custom actions and desktop automations.
Edge Intelligence
Designed for Rockchip/Amlogic class devices with local models and full offline responsiveness.
Security First
Minimal surface area, explicit opt-ins, and transparent local logs.
Natural Voice
Choose voices and tone. Crisp, low-latency feedback accelerated by on‑device DSP.
Pilot → Pro → Scale
0–2 mo prototype, 2–4 mo pilot, 4–6 mo Pro launch. Retail scale within 12 months.