Protect Assets. Strengthen Systems. Anticipate the Future.
AI-driven climate and terrain analytics to forecast hazards, assess vulnerability, and guide adaptation strategies for resilient infrastructure and communities.
Overview
As climate extremes intensify, infrastructure and resource systems face rising exposure to floods, fires, landslides, and heat stress. The Climate Risk & Resilience Intelligence Pilot delivers data-driven foresight to help cities, utilities, and investors identify vulnerabilities, prioritize interventions, and plan adaptive infrastructure built to endure.
Our platform fuses digital elevation, hydrologic, and satellite datasets with AI-based hazard modeling to map susceptibility, quantify resilience, and simulate climate scenarios under future conditions.
Hazard & Exposure Modeling
Forecast the spatial and temporal dynamics of key natural hazards.
Includes:
- Flood, wildfire, and landslide susceptibility modeling
- Terrain, vegetation, and soil-structure analysis
- Multi-sensor detection (SAR + optical) for near-real-time hazard observation
- Infrastructure exposure overlays for roads, utilities, and buildings
Resilience Scoring & Infrastructure Analytics
Evaluate system vulnerability, recovery potential, and adaptive capacity.
Includes:
- Infrastructure and asset resilience scoring
- Power, transport, and communication network continuity models
- Cross-sector risk dependencies (e.g., flood-transport-energy cascade effects)
- Prioritization logic for climate adaptation investment
Climate Scenario Simulation
Anticipate change and stress-test strategies under future climate projections.
Includes:
- Downscaled climate scenarios (precipitation, temperature, drought)
- Scenario stress tests for physical assets and supply networks
- Dynamic adaptation dashboards visualizing short- and long-term risks
- Comparative metrics for resilience planning and ESG reporting
Platform Outputs
Delivered via secure dashboard, exportable dataset, or API.
- Hazard and resilience maps (flood, fire, landslide, multi-hazard)
- Infrastructure exposure and vulnerability indices
- Climate stress-test and adaptation dashboards
- GIS and report-ready data packages (GeoJSON, KML, SHP, PDF)
Use Cases
- Utilities & Infrastructure Operators – protect energy and transport assets from hazard exposure
- Insurers & Reinsurers – quantify regional exposure and pricing models
- City & Regional Governments – prioritize adaptation planning and funding
- Investors & ESG Analysts – integrate resilience metrics into risk portfolios
Deployment Options
- Regional or national-scale deployments
- Cloud-based dashboard or on-prem configuration
- Integration with existing ESG or climate-risk systems
- Optional API for automation and client systems integration
Pilot Scope
Timeline: 6–12 weeks
Deliverables:
- Regional hazard and resilience model
- Impact overlays and vulnerability scoring
- Interactive dashboards and adaptation scenarios
- GIS export package and summary brief