Aretia Climate
Climate Intelligence

Climate Analytics

Your portfolio's climate risk, in dollars.

Asset-level physical risk converted to revenue at risk, EBITDA impact, and asset value exposure · across 5 IPCC/NGFS scenarios, powered by real climate data and AI.

Climate Analytics · Portfolio · FY2025
$4.2M
Revenue at Risk
+12%
$1.8M
EBITDA Impact
+8%
$22.4M
Asset Exposure
+5%
AssetSectorScenarioRev. at RiskEBITDAOverall
Lagos TerminalEnergySSP2-4.5$1.4M$0.6MHigh
Nairobi Data HubTechSSP3-7.0$0.8M$0.3MMedium
Cape Town OfficeFinanceSSP1-1.9$0.2M$0.1MLow
Dubai WarehouseLogisticsSSP2-4.5$1.8M$0.8MHigh
01
Financial Reframing

Risk scores don't move boards. Dollar figures do.

Every physical hazard · flooding, heat, water stress, cyclones, sea-level rise · is translated into three financial metrics your CFO and board already understand: revenue at risk, EBITDA impact, and asset value exposure. Not traffic-light scores. Not index numbers. Actual dollar exposure, per asset, per scenario.

Revenue at risk, EBITDA impact, and asset value exposure per asset
PCAF-aligned methodology for financed emissions translation
Scenario-weighted expected loss calculations
Direct feed into IFRS S2 Strategy and Risk Management disclosures
Financial Climate Reframing
Physical Risk Financial Exposure
Coastal FloodingHigh$1.4M$0.6M
Extreme HeatHigh$0.8M$0.4M
Water ScarcityMedium$0.5M$0.2M
Tropical CycloneLow$1.5M$0.6M
$4.2M
Total Rev. at Risk
$1.8M
Total EBITDA Impact
$22.4M
Asset Value at Risk
02
Scenario Analysis

Five pathways. Every asset. Side by side.

Run your entire portfolio through five IPCC SSP scenarios · SSP1-1.9, SSP2-4.5, SSP3-7.0, SSP5-8.5 and custom · simultaneously. Compare financial exposure across warming trajectories so you can show investors, regulators, and counterparties exactly what happens to your book under each climate future.

IPCC SSP1-1.9 through SSP5-8.5 scenarios built in
Horizon analysis at 2030, 2040 and 2050
Cross-scenario comparison tables with delta reporting
NGFS pathway alignment for transition risk overlay
Scenario Comparison · SSP1-1.9 vs SSP3-7.0
MetricSSP1-1.9SSP3-7.0
Revenue at Risk$0.8M$4.2M
EBITDA Impact$0.3M$1.8M
Asset Value Exposure$6.2M$22.4M
Physical Risk Score24/10081/100
Transition Risk Score18/10044/100
Overall Climate Score21/10063/100
AI NARRATIVE

Under SSP3-7.0, your Lagos Terminal faces 81% probability of severe flood disruption by 2050, representing $1.4M revenue at risk. Immediate adaptation measures reduce exposure by 40%.

03
AI Narratives

Every asset gets a climate brief.

For each asset, across each scenario and time horizon, Aretia generates a plain-language AI narrative that explains the finding, the dominant hazard, the financial logic, and the priority adaptation action. Copy it into a board paper, paste it into an IFRS S2 disclosure, or send it directly to an asset manager. No interpretation required.

Per-asset, per-scenario, per-horizon AI briefing
Real measured climate data from NASA, Open-Meteo, OpenStreetMap
Adaptation recommendations with NPV and benefit-cost ratios
Exportable for TCFD, IFRS S2, and investor reporting
AI Insight · Asset Level
Lagos Terminal · SSP2-4.5 · 2050
Generated 2 minutes ago
Risk Score81 / 100
Revenue at Risk$1.4M
EBITDA Impact$0.6M
Adaptation Cost$340K
Adaptation Benefit$1.1M NPV
Key Finding

Elevation of critical equipment above 2.5m and installation of surge barriers reduces exposure by 42% at a benefit-cost ratio of 3.2·. Priority action required before 2030.

Verification-Ready Audit Trail

Every action in Climate Analytics is permanently logged.

Immutable record of every data entry, calculation run, approval, and document upload — structured for ISO 14064-3 verification, SBTi validation, IFRS S2 assurance, and DFI/LP reporting. No editing or deletion, ever.

ISO 14064-3SBTiIFRS S2IFC PSISO 50001EU Taxonomy

See your portfolio's climate risk in dollars.

Run your first asset-level analysis in under five minutes. No spreadsheets. No consultants.