We redesigned local llm inference for privacy-preserving browser intelligence from scratch ? no cloud, no black boxes.

We redesigned local llm inference for privacy-preserving browser intelligence from scratch ? no cloud, no black boxes.

Local LLM Inference for Privacy-Preserving Browser Intelligence: Architecture and Optimization

The Problem

The integration of large language models (LLMs) into web browsers enables transformative capabilities including visual page understanding, natural language task delegation, and autonomous web interaction. However, cloud-based LLM inference introduces fundamental privacy violations: every page rendered, every action executed, and every user interaction is transmitted to remote inference servers .

What We Built