No internet? No problem. On-device LLMs and speech models run locally — response times under 200ms. Your assistant can compose messages, set reminders, or answer questions about your documents even on a plane.
privacy-first no cloudEverything — voice input, personal context, calendar details — is processed inside the secure enclave. No audio snippets leave your phone. Independent audits show zero data leakage. The assistant learns your preferences without exposing them.
Because the model lives on your device, it can access local signals (calendar, notes, recent messages) to give deeply relevant suggestions. It knows you're preparing for a trip without re-asking. All merging happens locally.
cross-app smart suggestionsOn-device assistants aren't a futuristic concept — they're already transforming workflows:
Quantized transformers (2–7B parameters) now run at 30+ tokens per second on flagship phones and laptops. On-device NPUs and Apple Neural Engine / Qualcomm AI Engine accelerate inference. Memory footprint? As low as 2GB RAM for a capable assistant. Open-source models like Llama 3.2, Phi-3-mini, and Gemma 2 lead the pack.
Combine with local vector stores (SQLite + embeddings) and you get a personal AI that knows your files without uploading them. truly private RAG