// How it works

From physical climate risk to adaptation decisions.

Vulnerability is not generic. Our risk models are transparent, calibrated to your sites, equipment, processes and critical dependencies.

Azard combines climate projections, site-level data and sector-specific or company-specific impact models to identify where climate risk is material, what it may cost, and which adaptation actions to prioritise.

// The flow

How a hazard becomes a decision.

// 01 · Inputs

Climate science meets your sites.

Climate projections are collected from the most reliable public data sources, then processed by Azard following climatology best practices. Operational data, in turn, is collected from you at setup. Together, they ground the analysis in your operational reality.

Climate data

Localized climate indicators for each site, across scenarios and time horizons.

Example hazards covered

HeatDroughtWater stressHeavy rainfallRiver floodingCoastal floodingWindWildfireSoil shrink-swell

Scenarios & horizons

SSP2-4.5SSP5-8.5RCP4.5RCP8.5Short termMedium termLong term

Multi-scenario · Multi-horizon · Global coverage · Chronic & acute hazards

Operational & financial data

Site-level information used to reflect real operational vulnerability. Most data points are optional. The more data is available, the more refined the analysis.

Data points

Site typeGPS locationAssetsEquipmentProcessesStocksTeamsAccessExisting protectionsRevenueOPEXInsured value

Collection approach

Structured data requestExpert interviewsSite visits by our experts

// 02 · Azard platform

Tailored to your sites, deployed across the portfolio.

Detailed risk models, at the component level, calibrated to your sector and able to reflect impacts that are specific to your company.

Site-type models

One parameterized model per site typology, reused across every site that shares it.

Examples

Wastewater treatment plantQuarryWarehouseSupplier siteSourcing area

Typology-specific · Scalable · Comparable across sites

Component-level analysis

Vulnerability profiles built at the level of each critical component of the site.

Examples

Building structureSpecific equipmentWorking conditionsStocksSite accessProcess constraints

Assets · Operations · People · Dependencies

Quantified impact chains

Hazards are translated into operational consequences, then into financial impacts.

Example chains

Flood × building Physical damage

Heat × workers Productivity loss

Drought × supply Higher costs

Heavy rain × access Downtime

Damage functions · Impact thresholds · Gross / net risk · Traceable assumptions

Portfolio roll-out

The same models are applied consistently across a portfolio of sites, business units or value-chain assets.

Examples of scopes

FactoriesWarehousesQuarriesStoresSuppliersLogistics hubsSourcing areasExposed markets

Multi-site · Value chain · Consistent comparison · Group-level consolidation

// 03 · Outputs

Where risk is material, and what to do about it.

Impact severity, probability, cost. And a ranked roadmap to act on them.

Azard Screen: risk scoring & financial impacts

Clear indicators showing where risk is material, how likely it is, how severe it could be, and what it may cost.

Examples of results

Likelihood scoreSeverity scoreRisk scoreSite rankingHazard rankingPhysical damageDowntime lossesOPEX increaseCost of inaction

Probability · Severity · Risk score · € impact

Azard Act: Adaptation priorities

A ranked view of the actions that reduce risk most effectively, by site, hazard and business unit or function.

Examples of outputs

Priority actionsRisk reductionImplementation costROIResidual riskSite sheetsPortfolio dashboardReporting extracts

Prioritise · Budget · Act · Monitor

// What's next

See it on your own portfolio.

A 30-minute walk-through with one of our climate-risk leads, using a sample of your sites, your typologies and your scenarios.

Back to the platform