Re-engineering Retrieval from First Principles.

Geometric distance is a fragile proxy for semantic meaning. We founded Moorcheh to replace it with Information Theory.

Collective Intelligence.

Moorcheh (Persian for Ant) represents nature's ultimate distributed system. Individual simplicity creating complex, emergent intelligence. This is the blueprint for our engine: breaking down massive high-dimensional data into simple binary signals to find the optimal path to relevance.

The Core Research

01

Maximally Informative Binarization

Abandoning the 32-bit float. We compress vectors by encoding their entropy, not their geometry.

02

Efficient Distance Metric

Hardware-native performance. Replacing expensive floating-point math with hyper-fast bitwise CPU operations.

03

Information-Theoretic Score

True Semantic Probability. A normalized (0-1) metric that quantifies relevance based on information gain, not angle.

The Mission

"We believe the future of AI agents depends on State, not just Search. Our goal is to provide the foundational memory layer that allows AI to reason with zero hallucination and infinite context."

— The Research Team at Edge AI Innovations