Solving how human beings can intuitively assess, understand and navigate four dimensional data through an easy to use and adaptive interface represents one of the most complex and challenging problems to overcome in the big data space.

Inspired by scientific theories from Einstiens Theory of General Relativity to Richard Feynmans Theory of Quantum Electrodynamics and through years of research, design and development we have created a series of powerful user-friendly applications capable of making the complex simple, enabling users to comprehend a vast amount of variable, timespace fluid data in real-time.

Gaea’s applications, Caerus and Soter, simplify complexity, making previously impossible insights accessible. They dramatically accelerate comprehension, enabling data-driven, rapid, and informed decision-making beyond human capabilities.

In order to understand simple outcomes there are a deep plethora of conceptual understandings that need to be taken into consideration. We take most underlying factors for granted as just being understood.

However, in order to truly quantify cause and effect there needs to be a deeper connected relationship with underlying and influencing data points. In the same way The Butterfly Effect describes seemingly non-related causal impacts, we set out to understand how we would achieve this using technology. The result of years of experimentation resulted in the world’s only Large Geotemporal Model (LGM).

Infused with the concept of geotemporal (timespace), our Artificial Intelligence AI is able to traverse time and space to ascertain cause and effect to accurately predict future impact in the language of data. This enables a new form of extremely powerful generative AI unlike anything currently in the market.