AlterIntelligence
Isometric cutaway of a logistics warehouse with pallet racking, ASRS crane, forklift charging, electrical room, generator and detention pond color-coded by flood risk

Climate Risk Intelligence for End to End Resilience

Resilience Engine that utilizes AI, computer vision and geospatial intelligence to model physical climate risk at the asset.

For Asset Owners

Insurers and Banks

Powering Underwriting and Portfolio Decisions

  • Faster underwriting and lower survey costs
  • Inputs that improve loss ratio
  • Portfolio wide climate risk analysis
  • Climate adjusted stress tests
Laptop showing a portfolio map with flood extents and color-coded asset markers

For Asset Owners and Operators

Powering Resilience Planning

  • Granular loss modelled at component scale
  • Downtime mapping incorporating network dependencies (power, water and access roads)
  • ROI prioritized mitigation actions
  • IFRS S2 / TCFD-aligned disclosure reporting
Tablet showing a 3D building cutaway with components color-coded by risk

For Insurers and Banks: From Submission to Comprehensive Risk Assessments

1

Extraction

  • Auto data extraction across multiple formats (SOV, Accord, PDF and Excel).
  • Auto address verification and geocoding.
2

Enrichment

  • Identify relevant asset features (structural and non-structural) via satellite imagery, street view, building plans and user input video.
3

Hazard Modelling

  • High resolution (30 m) physics-based inundation modelling — depth, velocity and duration at the asset.
4

Damage Estimation

  • Hazard simulation at component level for different return period and SSP scenarios.
  • Engineering analysis to determine damage at component scale.
5

Delivery

  • Explainable and auditable results.
  • Secure API.
  • Ingests rules and risk parameters to assist decision making.

For Asset Owners: Identify At Risk Infrastructure and Understand Why

1

Enrichment

  • Identify relevant asset features (structural and non-structural) via satellite imagery, street view, building plans and user input video.
2

Hazard Modelling

  • High resolution (30 m) physics-based inundation modelling — depth, velocity and duration at the asset.
3

Damage Estimation

  • Hazard simulation at component level for different return period and SSP scenarios.
  • Engineering analysis to determine damage at component scale.
4

Mitigation

  • Raise generator, elevate electrical panel, flood barriers, improve drainage, back-up pump.
  • Ranked ROI mitigation strategies.
  • Support maintenance strategies and continuity planning.
5

Reporting and Disclosure

  • Identify vulnerable sites and quantify Value at Risk (VaR) across SSP scenarios.
  • Quantitative assessments for capital allocation.
  • Disclosure-ready reporting and dashboards, aligned to IFRS S2 and TCFD.

Powered by Three Intelligence Engines

Industrial building half photographed, half resolved into a 3D scan
1. Vision Intelligence

Ground Truth AI

  • Computer vision
  • 3D understanding
  • Feature extraction
  • Digital twin creation
Flood simulation branching through a pale terrain model
2. Hazard Intelligence

HazMap AI

  • HEC-RAS modeling
  • Hydraulics and physics
  • High-res flood maps
  • Depth, velocity, duration
Building cutaway with impacted components highlighted in red and amber
3. Engineering Intelligence

Impact AI

  • Component damage
  • Downtime estimation
  • Business interruption
  • Mitigation recommendations

Four engines. One platform. End-to-end climate risk intelligence.

Ready to Make Every Asset More Resilient?

Join financial institutions and asset owners in turning climate risk into actionable intelligence.