Holographic AI – The Holometric Engine (HE)
The HE processes data completely differently to conventional explicitly programmed machine learning and neural network architecture systems. The HE genuinely processes data non-algorithmically, the HE learns autonomously,and no model-training is required.
The totally unique and complex core HE invention displays quantum-like behaviour of superposition and a form of entanglement, and is inspired by theories of harmonic resonance, wave mechanical, fractal intelligence, autopoietic systems, cybernetics, practopoiesis, and information theory.
The HE technology identifies complex patterns in vast volumes of data with minimal pre-programming time, the no specific processing code is more data efficient and accurate, the HE can self-train and process without any domain specific training models.
The Holometric Engine is designed to facilitate; adoption of advanced AI analytics for superior optimization, improved accuracy, and better pattern recognition and prediction, for anomaly and signal detection, clustering, segmentation, video, and image recognition purposes.
The revolutionary HE architecture provides a powerful real time AI processing capability enabling the opportunity to “solve particular complex problems that conventional AI architecture cannot solve”, and facilitating significantly reduced pre-programming and training time costs dependant on the specific use case / application.
Conventional Processing System
- Memory created by interacting neurons
- Data flows in a series of pre-layered neurons
- Construction based on mathematical model
- Quantum of weights determine neuron activity
- New model design required for separate problems
- Model required to be trained with massive dataset
- System efficiency is relative to model pre-training
Neural Network Architecture

Holographic Processing System
- Instant pattern memory is created by the virtual Processor
- Data flows within each holon’s octaplex (24 cell) structure
- System construction based on holographic principles
- Oscillation of entities (holons) seek harmonic resonance
- Quasi-Quantum processing effects faster processing
- Model self learns, no external training datasets required
- System efficiency dependant on achieving harmonic resonance
Holographic AI Virtual Processor

How Is Holographic AI Different?






Developed Over 19 Years
2002
Revelation of AI Intelligence Theory.
2003
First development attempts.
2007
Discovered the intelligent cell. (like digital units)
2008
Concept Holographic AI Engine designed
2010
The ‘Impulse Cycle’ and Holographic principle introduced.
2014
Ingeniation Pty Ltd established 2014. Holographic AI Engine framework designed.
2017
Perpetual dynamical system developed and tested.
2018
‘Holographic Processing Unit” proof of concept achieved. Patent application submitted for Holographic AI.
2019
Commercial prototype of Holographic AI Engine (HE) developed.
2020
UWA / Chevron / Woodside Subsea Project collaboration. & ICRAR.org Square Kilometre Array Project.
2021
Integrating HE technology into broader use mainstream development platforms (Nvidia Deepstream) to include video and audio.
2002
Revelation of AI Intelligence Theory.
2003
First development attempts.
2007
Discovered the intelligent cell. (like digital units)
2008
Concept Holographic AI Engine designed
2010
The ‘Impulse Cycle’ and Holographic principle introduced.
2014
Ingeniation Pty Ltd established 2014. Holographic AI Engine framework designed.
2017
Perpetual dynamical system developed and tested.
2018
‘Holographic Processing Unit” proof of concept achieved. Patent application submitted for Holographic AI.
2019
Commercial prototype of Holographic AI Engine (HE) developed.
2020
UWA / Chevron / Woodside Subsea Project collaboration. & ICRAR.org Square Kilometre Array Project.
2021
Integrating HE technology into broader use mainstream development platforms (Nvidia Deepstream) to include video and audio.
Conventional AI / Algorithmic
Holographic AI / Non Algorithmic
Holographic AI features a modular architecture enabling adding entities, holons or linking multiple systems together, facilitating scalability to create new types of applications in previously unknown ways. Programming changes are not required to scale up intelligence complexity.

Holometric Processing Unit - Solution Architecture
The Holometric Engine (HE) is a virtual machine hosted on a standard computer platform. All the Ingeniation source code resides in the HE Framework of which the HE is the core component, creating a virtual processor.
The virtual processor self-constructs a multi-dimensional highly complex oscillatory neural network structure of intelligent holons (oscillators). The holons continually and dynamically freely interact (with no programmed instruction) in virtual quasi-quantum vibrational states.
The holons instantly modify their internal processing logic to achieve harmonic resonance (synchronisation) within their changing environment in a perpetual cyclic feedback loop, identifying new patterns in input data.