Geotemporal AI Model
The LGM mirrors human cognition to bridge the gap between raw data and human-like understanding
After a decade of R&D, GAEA AI has created the future of predictive Artificial Intelligence
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.
The Large Geotemporal Model (LGM) harnesses geotemporal (geospatial + temporal) properties to deliver actionable context across what, where, and when (time + space). It empowers organisations to explore the past, understand the present, and predict the future with unparalleled speed, precision, and efficiency.
Seamless Data Ingestion Across All Modalities
The LGM is designed to ingest data in all its forms - structured or unstructured, from any source or modality. From raw data streams and legacy databases to trusted third-party inputs, the LGM doesn’t merely process data; it observes it. Unlike conventional approaches that impose predefined notions of 'good' or 'bad' data, the LGM preserves the natural flow and integrity of information, ensuring that every dataset remains untouched and unaltered as it moves through the system.
Time & space – the past, present and future
The LGM enriches data with advanced geotemporal capabilities, providing context not only across time but also across geographic space. By seamlessly integrating these dimensions, the LGM transforms raw information into actionable insights. This geotemporal enrichment allows data to be positioned in its most relevant context - for example, analysing economic, environmental, or societal data in relation to past events, present realities, and future trends. The result is predictive intelligence that empowers smarter, more informed decision-making based on the critical dimensions of what, where, and when.