Climate-risk intelligence
Combine environmental and operational data to understand changing risk.
AI for climate change
AI systems for climate resilience and environmental action.
Build climate and sustainability systems for carbon intelligence, environmental monitoring, renewable energy and resilience planning.
SECTOR HIGHLIGHT
Climate risk
Carbon intelligence, environmental monitoring and climate resilience.
See climate change casesThe sector challenge
Production AI in climate change has to fit the real operating environment.
Delivery, validation and governance stay explicit from the first data decision through production use.
CHALLENGE
Data reality
Use representative data from the environments where the system will run.
CHALLENGE
Operational fit
Design around the people, tools and constraints already in the workflow.
CHALLENGE
Validation
Agree measurable success criteria and review evidence before deployment.
CHALLENGE
Governance
Keep ownership, limitations and human review points visible.
What we build
AI applications for climate change.
Environmental monitoring
Use computer vision and geospatial AI to monitor land, water and ecosystems.
Resilience planning
Turn forecasts and scenario models into practical response decisions.
Climate Change case studies
All
Geospatial AI · MicrogridsIdentifying Optimal Microgrid Sites with AI
Mapping opportunity sites with satellite imagery and machine learning to accelerate rural electrification.
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Energy Forecasting · NorwayPredicting Norway's Electricity Prices with 97% Accuracy
Machine-learning forecasts that support smarter renewable-energy decisions across Norway.
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Solar Adoption · AfricaAccelerating Solar Adoption in Sub-Saharan Africa
AI-powered forecasting for faster solar adoption and improved rural energy access.
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ESG · Greenwashing DetectionDetecting Greenwashing with 85%+ Accuracy
An AI-driven ESG monitoring system that supports sustainable trade and surfaces greenwashing.
Read case studyBuilding AI for climate change? Let's scope it together.
Talk to a solutions architect about the data, validation and delivery path for your use case.
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