Orbyfy translates climate risks to real-world risks, using physics.
Climate digital twins for real-world impacts on buildings, structures, and homes.
Orbyfy helps big banks, financial services firms, and major (re)insurers quantify acute physical climate risk exposures across asset and loan portfolios.
Reduced climate scenario analysis costs: 30-50% reduction
Model uplift: climate risk to climate forces to damage categories
High-fidelity and high-granularity: enhanced portfolio-wide risk analysis
Reduced loan default rates, improved capital adequacy ratio, reduced loss ratios
Regulatory compliance
Flood simulation
Precise flood inundation modeling using Orbyfy’s 3D models of cities including changes of depth and topography. Quantify the depth and extent of potential flooding for specific assets, area of inundation, leading to more accurate risk scores. Address the level of damage to buildings, structures, and homes.
Modeling of Calgary’s Bow river and 1-in-100 year storm event.
Wind simulation
Modeling impacts of Category-4 level storm: Hurricane Harvey in 2017 for both Houston and Rockport, Texas. 450+ buildings, structures, and homes simulated.
From climate risks to climate forces to damage.
End-to-end.
Orbyfy uses the most accurate 3D models of a portfolio, region, or geographic zone to simulate climate risks on buildings, structures, and homes. Translating climate risks to climate forces and damage categories. Assess acute physical climate risk impacts via digital twin simulations. Orbyfy’s mission is to be the leading earth observation climate digital twin platform. Find out more regarding how to get started.
Hurricane and wind impact simulations
Flooding and hydrodynamic simulations
Hail and impingement simulations
Fire and thermodynamic effect simulations
Drought simulations
Earthquake and vibrational impacts simulations
Erosion and coastal effects simulation
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Scenario Analysis & Stress Testing
Multi-physics simulations enable financial services firms to explore various climate scenarios. For instance, they can model the effects of rising sea levels, extreme temperatures, and natural disasters on their loan portfolios and investments. By stress-testing their balance sheets under different climate scenarios, firms can assess their resilience and identify areas that require attention. This helps them prepare for potential shocks and adapt their risk management strategies.
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Insurance & Risk Transfer
Financial services firms can use climate simulations to evaluate insurance needs. For example, they can assess the likelihood of property damage due to extreme weather events and determine appropriate insurance coverage. Additionally, simulations inform the design of catastrophe bonds and other climate-resilient financial instruments. These mechanisms allow banks to transfer risk to the capital markets, reducing their exposure to climate-related losses.
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Investment Decisions & Green Finance
Climate simulations guide financial services firms in making sustainable investment choices. By understanding the physical risks associated with certain sectors (i.e., real estate, agriculture) firms can allocate capital to climate-resilient projects. Furthermore, these simulations support the development of green finance initiatives. Financial services firms can identify opportunities to finance climate adaptation and mitigation projects, contributing to a more sustainable economy.
Orbyfy uses 3D building, structure, home, and terrain data in conjunction with physics-informed AI to simulate real-world impacts of acute physical climate risk.
Models: Multi-physics simulation models (physics-informed AI) and scenario analysis to assess climate risks on their assets, operations, and customer, commercial, and residential loan portfolios.
Buildings: Building and geographical area simulation based on 3D structure data to determine climate force magnitudes and model approximation of structural response.
Data: Injection of GIS and weather data from open sources: USGS, NOAA, FEMA; injection and integration of property data and bank-specific databases.
Scores: Risk scores for acute physical climate risk: hurricane, flood, fire, earthquake, droughts. Translation of physical phenomena into risk.
Stress Testing: Upper bound of acute physical climate risk in portfolios via modeling different cases: moderate to 100-year storm events; alignment with NGFS climate risk scenarios.
Visualization: Application and simulation visualization and reduced order models to integrate into downstream financial modeling scenarios and tools; data fabric integrations.
Methodology: Provides a repeatable assessment approach to emergent climate financial regulation: FRB FDIC & OCC Climate Principals (US), OSFI B-15 (Canada), Biennial Exploratory Scenario (England), EU Sustainable Finance Package (EU).
Benefits of 3D Physics-AI Climate Digital Twins
Unmatched Detail: Simulate 3D building surfaces and complex structures, including their influence on each other.
Scalability: Define risk for individual buildings, entire cities, or even vast geographical regions.
High-Fidelity Analysis: Handle intricate urban environments and account for the impact of terrain.
Comprehensive Risk Assessment: Model the effects of various climate threats like hurricanes, floods, and fires on target asset and loan portfolios.
Advanced AI Insights: Leverage cutting-edge AI to understand how buildings respond to climate forces.
Flexible Material Modeling: Approximate the composition of buildings (concrete, steel, wood, etc.) for accurate simulations.
Actionable Outputs: Generate insightful visualizations, run what-if scenarios, and create location-specific reports.
Prioritized Risk Management: Get a clear picture of relative risk across your portfolio, highlighting critical areas.
Future-Proof Planning: Utilize worst-case historical data to stress-test your assets against future climate projections.
White Paper
Quantifying Acute Physical Climate Risk Re-Imagined: A Deep-Dive into 3D Climate Digital Twins
Partnerships
