Foundational AI Models
Proprietary models trained or adapted around specialist datasets, client information and domain knowledge—designed to answer questions generic systems cannot.
What they are
GeonatIQ Foundational AI Models are developed for defined technical and commercial environments. Depending on the mandate, we train new architectures or adapt proven approaches around the data, constraints and domain knowledge of the problem.
The result is not a generic interface. It is a specialised intelligence layer built to predict, screen, rank, interpret or optimise within a real operating context.
Client data
GeonatIQ proprietary data
Specialist third-party data
Public and licensed information
Domain knowledge
Decision-grade insight for a defined use case.
Example systems
Current model families span market intelligence, exploration, subsurface analysis and climate infrastructure.
Designed to turn complex market signals into actionable price and risk intelligence. These models support trading, hedging, portfolio risk management, stress testing, and market outlook formation across physical and financial commodity markets.
Designed to accelerate discovery and prioritisation in data-rich exploration environments. These models extract signal from complex geological and geochemical datasets to support earlier, better-informed exploration and investment decisions.
Designed to support subsurface decision-making across exploration, appraisal, and development. These models integrate technical data and domain knowledge to reduce uncertainty and improve capital efficiency in energy projects.
Designed to evaluate and prioritise subsurface opportunities critical to the energy transition. These models support storage screening, risk assessment, and strategic planning for climate-related infrastructure.
Commercial access
Access an existing model, adapt one around your data, commission a bespoke system or discuss a selective purchase for a defined technical or commercial problem.
