VERANTYX is an experiment in making AI reasoning structural rather than purely statistical.

The system: • runs locally • uses small, explicit rule sets • falls back to LLMs only when structure is missing • marks all mined output as provisional

The long-term idea is that as the DB grows, dependence on large models shrinks.

This is not about outperforming GPT-4-class models. It’s about making reasoning transparent, testable, and cheap enough for individuals.