Why Tiny Models are the Key to Privacy

The "privacy-first" future of AI belongs to models that are small enough to run entirely on a user's phone. Tiny models (sub-1 billion parameters) are the breakthrough that makes this possible.

On-Device Sovereignty

Models like Llama 3.2 1B or Phi-3.5 Mini can run locally on modern smartphones without internet access. For applications like keyboard prediction, local search, or personal notification summaries, this ensures that the user's most sensitive data never touches the cloud, providing the ultimate privacy guarantee.

Zero API Costs at Scale

For developers, tiny models eliminate the "per-user" API costs. Once the model is shipped within the app, the computational work is handled by the user's device. This allows you to scale to millions of users without incurring a single dollar in inference costs, making AI features economically viable for even the smallest startups.