The AI toolkit for climate adaptation.

Groundswell is the open-source platform that translates complex climate data into action. Identify risks, analyze impacts, and plan for the future in plain language.
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Wildfire risk
Flood risk
Coastal erosion
Climate migration
Biodiversity loss
Drought conditions
Sea level rise
Extreme weather
Extreme heat
Urban drainage
Wildfire risk
Flood risk
Coastal erosion
Climate migration
Biodiversity loss
Drought conditions
Sea level rise
Extreme weather
Extreme heat
Urban drainage
Wildfire risk Flood risk Coastal erosion Climate migration Biodiversity loss Drought conditions Sea level rise Extreme weather Extreme heat Urban drainage Wildfire risk Flood risk Coastal erosion Climate migration Biodiversity loss Drought conditions Sea level rise Extreme weather Extreme heat Urban drainage
Wildfire risk Flood risk Coastal erosion Climate migration Biodiversity loss Drought conditions Sea level rise Extreme weather Extreme heat Urban drainage Wildfire risk Flood risk Coastal erosion Climate migration Biodiversity loss Drought conditions Sea level rise Extreme weather Extreme heat Urban drainage

How it works

The tech that powers Groundswell.
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Gemini 2.5 Pro

Generate insights in seconds

Speak in plain language with an intelligent climate agent that provides clear, actionable insights on climate adaptation.

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IPCC logo
WRI logo
IEA logo
World Bank logo
ESA logo

Leverage trusted data

Access trusted data from public sources like NOAA, IPCC, and Copernicus in a unified, AI-first knowledge base — or bring your own.

python
1 import groundswell as gs
2
3 local_exposure_data = gs.connectors.load_local(
4 path="data.csv"
5 )
6
7 result = gs.workflows.run(
8 "RiskAssessment",
9 model="gemini-2.5-pro",
10 data_sources=["NOAA", local_exposure_data],
11 location="Copenhagen",
12 scenario="SSP2-4.5",
13 )
14
15 print(result.assessment_summary)

Build with our open SDK

Quickly build AI-powered climate solutions using our open-source Python SDK. Data connectors, analytical tools, agentic workflows, and more.

Use cases

Real-world prompts.

Waterfront Development Assessment

I'm looking to do an analysis of waterfront properties for the city of Rotterdam. We're assessing building floating developments in the Nieuwe Maas river to address housing needs. What are the major risk factors to consider?

Coastal erosion Flood risk

Agricultural Risk Mapping

We manage olive groves across Andalusia, Spain and need to understand how changing temperatures will impact our cultivation over the next 30 years. Can you help identify which regions are most at risk?

Drought Biodiversity loss

Heat Resilience Planning

Our city council needs data on which neighborhoods will be most impacted by increasing heat waves. We want to prioritize green infrastructure and cooling centers in vulnerable areas of Athens, Greece.

Extreme heat Climate migration

Coastal Infrastructure Protection

We need to assess vulnerable sections of coastal infrastructure between Copenhagen and Malmö. What areas of the Øresund region are at highest risk from sea level rise and erosion by 2050?

Coastal erosion Sea level rise

Wildfire Prevention Planning

Help us identify high-risk areas for communities in the Algarve region of Portugal. We need to understand how wind patterns and topography influence fire spread risks in our Mediterranean climate.

Wildfire risk Extreme weather

Urban Flood Assessment

We need to update our flood risk models for properties in Bangkok's Chao Phraya River basin. Can you analyze how monsoon patterns and urban development will affect flooding by 2040?

Flood risk Urban drainage

FAQs

Frequently asked questions.