Scientific · Auditable · Systemic · International
Territorial investment certainty.
Global climate data exists. Localized analysis does not. Meteomap transforms climate and environmental data into localized, auditable intelligence for territories, assets and decision systems.
24H RESPONSE · 0.25° GRID CELL · MONTE CARLO · TRACEABLE DATA
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Our mission
Make local climate intelligence accessible and fully auditable.
We uncover the critical local shifts that continental averages obscure — and make them usable for investment, adaptation, risk management and environmental decision-making.
The problem
Global data is abundant. Local decision intelligence is not.
✕
Continental averages
IPCC-scale averages are often too coarse for a municipality, an infrastructure asset, an agricultural plot or a local risk portfolio.
✕
External consulting
Specialized climate studies can require significant budgets, long analysis cycles and opaque methodologies.
The infrastructure
From global climate datasets to actionable territorial intelligence.
Localized data
Climate intelligence down to the actionable territorial grid cell.
Reproducibility
Transparent models and processing methods designed to be independently verified.
Traceability
A direct and documented relationship between historical observations, models and derived indicators.
Probabilistic analysis
Monte Carlo and uncertainty-aware approaches for decision-making under climate variability.
Why now?
Climate intelligence is becoming computationally accessible.
Before
Infrastructure constraints
Heavy server architectures, dedicated computing resources, rigid analysis cycles and micro-local indicators that remained economically inaccessible to many decision-makers.
Now
Open data + high-performance computing
The convergence of ERA5 open data, modern model architectures and vectorized computing enables pre-calculated climate intelligence and highly responsive territorial analysis.
Research & Decision Systems
01
Meteomap
Atmospheric Intelligence
Localized meteorological and environmental intelligence, spatial analysis and visualization of atmospheric dynamics.
02
FireTracker
Wildfire Intelligence
Wildfire monitoring and fire-weather intelligence combining satellite observations, meteorological data and the Canadian FWI system.
03
Naturaudit
Environmental Audit
A structured environmental intelligence system for dependencies, impacts, risks and opportunities across ecosystems and value chains.
04
KoppenLabs
Climate Modelling
Climatological modelling, Köppen-Geiger classification and analysis of interactions between climate, territories and infrastructure.
Designed for
Decision-makers operating on real territories.
01
Farmers
Identify irrigation pressure, soil aridification and emerging climate regime shifts.
02
Insurers
Quantify localized claims exposure and build probabilistic, sector-specific risk matrices.
03
Developers
Integrate climate time series and confidence indicators directly into applications and decision systems.
04
Governments
Plan adaptation investments and infrastructure strategies on measurable territorial evidence.
05
Researchers
Access reproducible climate and environmental data, classifications and processing methods.
Methodology
01
Observe
ERA5, satellite, meteorological, geographical and environmental datasets.
02
Model
Indicators, classifications, climate models, probabilistic analysis and spatial computation.
03
Audit
Traceable assumptions, dependencies, impacts, risks, uncertainties and compliance criteria.
04
Decide
Transform scientific evidence into operational intelligence for territorial decisions.
In practice
A farmer in Beauce identifies when irrigation becomes critical. An insurer quantifies exposure at municipal level. A government justifies adaptation investments using measurable territorial evidence.
Position
Meteomap is not another climate dashboard. It is a territorial intelligence infrastructure connecting climate data, environmental audit, spatial modelling and decision systems.
Ready to explore your territory?
Explore the intelligence systems or integrate localized scientific indicators into your own decision infrastructure.
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