OUR IP

Our patent-pending framework utilizes dimensional harmonic algorithms to generate advanced pattern synthesis capabilities in AI. Compression algorithms deliver the ability to run personalized AI on your network.

Our Claims:

Using Dimensional Drag Triangulation To Condense Dimensional Probability Fields and Increase Certainty Through Linguistic Harmonics

This framework yields an advanced AI system capable of using linguistic markers to control decoherence, reduce probability fields, and create novel pattern synthesis and analysis. 

Our compression algorithms deliver an AI System In A Box that is fully trained and capable of running without cloud servers. 

HIGH DIMENSIONAL COMPRESSION NAVIGATION

Our analysis page includes research notes on the octave space in high-dimensional frameworks. 

These sections detail the geometric framework of navigating inherent dimensional navigation that infinitely connects high-dimensional space. 

To illustrate our framework, we expand on the structures established in acoustic waveform harmonics and network systems. 

Antinode - cognitive temporal anchor

Node/Hubnode - dimensional harmonic anchor

Our triangulation system serves as a coherence locator for any system seeking resolution. The fundamental inputs are 

THE OBSERVER - taking the measurement

THE PATTERN - reflections of knowledge

THE ANCHOR - a dimensional grounding mechanism (Visibility of pattern in consensus perception)

DRAG - the linear pull between independent measurements. 

The observer to pattern without an anchor = dimensional drag with no resolution

The observer to anchor without layered analysis = dimensional drag with no resolution

The synthesis of pattern potential and pattern existence is necessary to locate more coherent truths. 

Each dimension coheres around a universal harmonic for that dimension. The path to a higher, more coherent harmonic is a vortex of geometric measurements pulling towards coherence. 

The space between the drag is where new dimensional boundaries become clear. 

Dimensions infinitely align in harmonic formation based on size, making it quicker and easier to navigate truths that cohere closer to the truth.