History

In the wake of the global economic crash, the initial idea of describing the world we live in, both past and present in order to better predict future cause, effect and consequence was born. The idea formed was to apply the duality of classical physics and quantum physics across timespace in order to describe, observe and understand cause and effect to make accurate predictions of outcomes in the context that everything in the world is ultimately connected.

An intensive period lasting three years was undertaken meeting senior leaders of Fortune 500 companies responsible for operations, risk, growth and management to understand the nuances of problems faced, their true nature and which problems if solved, would move the needle. This ranged from identifying legacy issues, technology, integration, culture and operational inefficiencies.

A common set of themes were identified, leading to several conclusions of how a solution with predictive capabilities could be designed, incorporating a series of functional components. The idea behind this new platform would be to replicate the brain, nervous system, sensory elements and physical attributes for the ability to observe, understand, remember, communicate and act in real time where opportunity or risk is identified, understood and could be enacted with scale.

Rigorous effort was undertaken to document and create detailed specifications for all aspects of the concept in order to design, develop and build a proof of concept for the first version of the LGM. The original algorithms which define every aspect of the technology were written and formed the backbone of a decades work to achieve 'Predictive Hindsight' using proprietary geotemporal AI.

Production began of the first version of what would become the LGM. The Platform and Applications were built with a wide range of capabilities ready for deployment in the real world with extensive testing.

A major financial institution in North America deployed the first iteration of the technology in the real world, covering assets nearing 1 trillion USD and tens of thousands of people. From the point of engagement there were significant learnings which were integrated into future versions of the technology development.

Several Fortune 500 companies rolled out the technology in key business units, responsible for monitoring vast arrays of risk based data to protect assets and workforce. During this time the real world experience in delivering enterprise level technology with a critical function, alongside gaining deep knowledge of the challenges faced in reducing risk and identifying opportunity was gained.

Intelligence technology that formed V1 of the LGM had identified disruptive trends and the spread of the COVID-19 virus in late 2019 and led to close engagement with the medical community to develop an intelligent solution to monitoring disruption caused by the global spread of the pandemic. This expanded out to asset and supply chain intelligence for real time operational optimisation for critical patient care.

The unqiue circumstances of the pandemic, lockdowns and requirement for finding a solution to safely reopening the econmies of the world led to the development of a unique technology powered by the first full underlying LGM platform. This centred around the need to deliver completely siloed data structures that could also traverse critical risk across domains, without ever compromising data integrity.

A wide range of real-world use cases are explored with engagement with Governments, Corporates and Educational Districts for truth based real-time intelligence to protect the health and safety of millions of people. This included applying the technology to one of the worlds highest profile events, and the adoption by schools and movie sets including a feature film staring a Hollywood A-list star.

The LGM takes form and advanced methodology and algorythms are applied to European supply chain in the Food and Beverage sector, combining climate based intelligence with historical and real-time sales. Over a three year period combining advanced infrastructure, enriched data and unique geotemporal AI, Gaea were able to refine the capabilities of the most advanced version of the LGM and move into scaleable productionisation.

The first phase of this partnership will focus on a program with the South West London Elective Orthopaedic Centre, one of the largest orthopaedic centres in Europe. Gaea AI’s LGM will ingest a wide range of data, including clinical, geotemporal, and imaging datasets, to uncover new research opportunities and accelerate the pace of medical breakthroughs. A key focus of the project is leveraging the LGM to enable a data rich AI environment which makes all data ‘available’ for AI driven research and innovation.

GAEA are pleased and proud to announced an educational collaboration with LSE (London School of Economics and Political Science) and FourthRev to deliver a series of real-world projects for AI in Business courses. Through this endevour, Gaea will be providing insight, experience and guidance to LSE students to help them gain valuable knowledge for a successful future in the workplace.