Problem Definition
Precise framing of the commercial, technical, or strategic opportunity through structured engagement with key stakeholders.
End-to-end AI lifecycleSpecialist artificial intelligence
AI Models and Agents for Energy, Resources and Climate
A deeper intelligence for complex industries.
GeonatIQ builds specialist AI using proprietary data, client data and domain expertise to create insights generic AI cannot.
Focus
Energy
Natural Resources
Climate
Non-Terrestrial
Financial Services
Professional Services
Models + Agents
Specialist AI.
Built around your world.
Capabilities
From data to decision.
Purpose-built intelligence for technical, commercial and operational decisions.
Data Acquisition and Preparation
Identification, ingestion, and preparation of relevant datasets, ensuring data integrity, consistency, and suitability for advanced modelling.
End-to-end AI lifecycleResearch and Innovation
Collaboration with academic and industry research partners to incorporate state-of-the-art AI and machine learning techniques.
End-to-end AI lifecycleModel Design and Development
Design, training, and optimisation of AI models aligned to defined performance and deployment requirements.
End-to-end AI lifecycleTesting and Validation
Rigorous validation to ensure model accuracy, robustness, and reliability across real-world conditions.
End-to-end AI lifecycleDeployment and Integration
Seamless integration into existing client systems or deployment via dedicated platforms, depending on mandate and use case.
End-to-end AI lifecycleOngoing Monitoring and Optimisation
Continuous performance monitoring, refinement, and recalibration to maintain optimal outcomes.
End-to-end AI lifecycleScaling and Enhancement
Expansion of solutions to larger datasets, broader geographies, or more complex scenarios, with ongoing improvement driven by feedback and new insights.
End-to-end AI lifecycleSectors
Built for complex industries.
Deep sector context changes what AI can recognise—and what organisations can decide.
01Energy
AI across oil & gas, power and renewables, from subsurface interpretation and hydrocarbon detection to forecasting, optimisation and operational intelligence.
Explore sector ↗
02Natural resources
AI for mineral discovery, resource targeting, groundwater, subsurface assessment and investment analysis, combining geological, geochemical, geophysical and spatial data.
Explore sector ↗
03Climate
AI for carbon storage, emissions markets and climate-policy intelligence, turning complex subsurface, market and regulatory information into decision-ready insight.
Explore sector ↗
04Non-terrestrial
AI for planetary science and exploration, including hyperspectral processing, surface classification, anomaly detection and automated mineral mapping.
Explore sector ↗
05Financial Services
AI for commodity forecasting, capital allocation and market intelligence, combining numerical models with context-aware news, policy and event signals.
Explore sector ↗
06Professional services
AI agents and analytical systems for regulatory, legal, operational, supply-chain, human-capital, valuation, due-diligence and strategic workflows.
Explore sector ↗Commercial access
Licence. Consult. Buy.
Existing. Customised. Bespoke.
Licence
Access an existing GeonatIQ model or agent.
Consult
Adapt our architectures around your data or commission a bespoke solution.
Buy
Explore selective outright model purchases where they fit the opportunity.
Research
Research that becomes
real-world AI.
Active research with leading universities, AI laboratories and specialist researchers.
AI for climate: subsurface porosity and carbon storage
A topic overview exploring how machine learning can help screen seismic attributes for porosity and support early-stage carbon-storage assessment.
Read Research ↗
Machine learning for planetary hyperspectral data
An overview of applying AI to reduce noise in planetary hyperspectral observations and improve mineral interpretation.
Read Research ↗
Cross-sector exploration geoscience
An overview of how AI and machine learning can be applied across oil and gas, mining, water, geotechnical, carbon and non-terrestrial resource questions.
Read Research ↗The difference
Proprietary data changes
what AI can see.
01Advanced AI
02Proprietary Data
03Client Data
04Domain Expertise
Unique intelligence
Intelligence others cannot access.
Our team
Domain expertise.
AI imagination.
A multidisciplinary leadership and technical team spanning artificial intelligence, geoscience, finance and growth.
CEO inbound
Recently appointed (not the robot!)
Antony Sommerfeld
Founder & Chief AI Imagineer
Prof. Cedric John
Chief AI Officer
Joel Corcoran
Senior AI Geoscientist (Consultant)
Mike Schuil
Executive Director, Capital and Growth
Start a conversation
What could your
data know?
Tell us what you are trying to understand, predict, automate or improve.
info@geonatiq.ai ↗