Research & Development

Metaphori's research emerges from over 10,000 hours of sustained interaction with AI systems across every major architecture family. We study how information structure shapes transformer attention, how meaning is constructed differently in human and artificial cognition, and where those differences create both limitations and opportunities.

Metaphori Engine™

Our patent-pending context processing system. How structured information shapes transformer attention and why that matters for AI cognition.

DLA Studies

Cross-architecture empirical research using Direct Logit Attribution to measure how MESN™ affects attention head specialization.

Embedding Study

Bridging experiment: do MESN™ embedding-space signatures translate to distinct attention patterns? Two spaces, two stories — and the token efficiency champion.

AI Memory

Every AI memory system stores text and retrieves it by similarity. We explain the problem, survey the landscape, and introduce Dynamic Reconstruction Memory.