Data
GAEA AI’s LGM ingests, enriches, and contextualises data, ensuring every insight and decision is grounded in accuracy and relevance. Each data point is rigorously vetted, traceable, and trusted
We empower organisations to make informed decisions with confidence, achieving a level of accuracy previously unattainable
Ingest
The LGM securely ingests vast volumes of structured and unstructured data from diverse sources, transforming fragmented information into a unified, AI-ready format without disrupting existing infrastructure.
Contextualise
At its core, the LGM harnesses geotemporal (geospatial + temporal) properties to provide multi-dimensional analysis, contextualising data across what, where, and when.
Ingest: data in all forms
The LGM is built to ingest data in all its forms - structured and unstructured, from every source and modality. Whether it’s raw data streams, legacy databases, or trusted third-party data, the LGM doesn’t just process it, it observes it.
We avoid interpreting or altering data to fit predefined notions of what is “good” or “bad.” Instead, we ensure that data flows naturally through the system without distortion, retaining its original integrity.
Enrich: advanced geotemporal enrichment
The LGM enriches data with advanced geotemporal capabilities, contextualising information not only across time but across geographical space. This geotemporal enrichment is a powerful advantage, allowing data to be placed in its most relevant context.
For example, economic, environmental, or societal data can be interpreted in relation to both past events and future trends, unlocking predictive insights that drive smarter, more informed decision-making based on what, where, and when.
Importantly, our enrichment process does not compromise the data’s authenticity. We only use trusted, validated, and verified data from reliable sources.
Unlike many AI models that rely on unvetted, often biased, internet-sourced data, the LGM works with factual, verified datasets - ensuring that the information is not skewed by subjective biases or misinformation.
Contextualise: unbiased decision-making
Many AI models make sweeping representations based on subjective interpretations. In contrast, the LGM refrains from imposing judgments. It observes data in its raw form, capturing the true nature of each dataset. From there, we contextualise it based on the specific goals and needs of the user. What matters most is not whether data is “good” or “bad” - but how it serves the purpose at hand.
By utilising the full potential of empirical data, we align machine learning and AI with the user’s objectives. We help organisations understand their data from the perspective of what their goals are, providing actionable insights for what “good” looks like in their specific context.
How the LGM works with data
Continuously Learning: ongoing evolution
The LGM is built for continuous learning, constantly evolving as new data flows through it. Each cycle of ingestion, enrichment, and contextualisation deepens its understanding of patterns, trends, and correlations.
This ongoing evolution allows the LGM to adapt to emerging data and shifting dynamics, ensuring that the model remains relevant and responsive to real-world conditions.
The LGM’s machine learning capabilities continuously refine its insights, driving smarter decision-making. With every iteration, it gains a more profound understanding of what works, empowering organisations to make more precise, accurate, and future-focused decisions.
Preventing Entropy: keeping data relevant
Data, left unmonitored, naturally decays over time. It loses relevance, becomes outdated, and ultimately falls out of sync with real-world conditions.
The LGM prevents this entropy by maintaining the integrity of data while continuously enhancing its value. It ensures that data is not only accurate at the moment of ingestion but remains relevant as it evolves.
This process prevents data from decaying and losing its utility, ensuring that organisations always have access to the most current and relevant insights available.
Partnering with Gaea has enabled us to explore potential to create efficiency in healthcare and medical research by unlocking our data and creating an innovation capable AI environment