Ogma - Building AI using Neuroscience

Ogma is building new AI technology based on a multidisciplinary approach, combining the latest developments in machine learning, the applied mathematics of dynamical systems, and computational neuroscience. Systems matching the power of state-of-the-art Deep Learning algorithms can be built with the self-organising structure, flexibility and efficiency found in the human brain. 

Systems Neuroscience

We take our cues from the modular structure of brain networks, where each region builds its own partial model of the world, and regions communicate and co-operate dynamically. Local learning and memory, combined with controlled communication between modules, allows for a far more efficient and scalable machine learning system than is found in current Deep Learning systems.

Machine Learning

Within each module, our technology draws from state-of-the-art and historically successful machine learning algorithms and techniques, combined with lessons from cortical and neural information processing circuits. In addition, Ogma has developed a novel, brain-inspired neural network architecture which we believe will become the basis for new advances in AI.

Complex Systems

Recent mathematical theorems of communicating dynamical systems prove that complex processes – brain regions or artificial modules – automatically build models of real-world phenomena, forecast their future evolution, and characterise their internal dynamics. This new kind of Universal Computing is, we believe, the basis of human intelligence, and shows how to develop AI in the near future.

The Ogma Core Team


Eric Laukien

Head of R&D

Eric is responsible for development of new algorithms and applications. He’s been working on high-performance Machine Learning, Reinforcement Learning, and AI techniques since his teens.


Richard Crowder

Senior AI Research Engineer

With a background in computer game production, short film VFX production and advertising agency co-productions, Richard has been diving into computational neuroscience for over two years, and also researches the current state of machine learning. Richard lives in South Wales, UK.


Fergal Byrne

Senior AI Researcher

Fergal has a background in Mathematics and Computer Science, and has been working in Computational Neuroscience and Machine Intelligence since 2013. His work includes papers on Hierarchical Temporal Memory and a new Dynamical Systems theory of the neocortex. He lives in Dublin, Ireland.


Marc Laukien


Marc is a serial entrepreneur, having set up and run a number of successful startups, including ZeroC. ZeroC’s main product is Ice, an open-source RPC framework that helps software developers build networked applications.

᚛ᚑᚌᚋᚐ᚜ is the word “Ogma” in the ancient Irish Ogham, which was carved on the edges of stone pillars. Legend has it that Ogham was invented by Ogma mac Elathan, or Ogmios, a demigod of learning and poetry.