Navia-X builds a semantic reinforcement layer adjacent to large language models.

The system focuses on identifying and structuring moments where human interpretation breaks during interaction with AI-generated language. By operating post-generation and alongside existing interfaces, it reinforces understanding without modifying models or accessing weights.

A minimal MVP is live and actively iterating, with emphasis on semantic clarity, contextual continuity, and feedback-ready structure.

Navia-X is infrastructure-first, interface-agnostic, and designed to support large language models through non-content, non-privacy semantic signals.