Real Estate & Building Portfolios
Physics-AI Digital Twins™️ for Climate-Resilient Properties
Leverage first-principles climate simulations to quantify hazard exposure, optimize capital allocation for resilience upgrades, and satisfy emerging regulatory mandates—no PhD required.
Physics-AI Digital Twins™️ for Climate-Resilient Properties
Why Real Estate & Building Portfolios Need Climate Digital Twins
Soaring Losses & Disruptions: In the last decade, global insured losses from property damage due to floods and wildfires exceeded $250 billion, with commercial real estate taking a disproportionate hit.
Regulatory & Investor Pressure: ESG frameworks (TCFD, SASB, GRI), new SEC climate disclosure rules, and local floodplain ordinances require granular, verifiable risk metrics for every property.
Portfolio Performance & Tenant Safety: Properties in high-risk flood zones incur up to 20% lower valuations and face 50% higher vacancy during post-event recovery—mandating proactive hazard management.
Orbyfy’s Physics-AI Digital Twins™️ translate meteorological and geospatial data into explainable risk scores, damage estimates, and actionable resilience plans—across thousands of assets—in days, not months.
Site Selection & Acquisition Risk Assessment
Evaluate climate hazards pre-acquisition. Developers and investors often rely on coarse FEMA flood maps or historic wildfire perimeters, which fail to capture neighborhood-scale variations in hazard intensity. A single mispriced property in a 100-year floodplain can trigger $5 million+ in unexpected remediation costs and drag on IRR by 3–5 percent.
Orbyfy Physics-AI Digital Twins™️
Prospective-Site Digital Twin runs flood-depth or fire-intensity simulations at 1 m (3 ft) resolution, incorporating real-time precipitation, soil-moisture profiles, vegetation fuel data and building footprints.
Comparative Risk Dashboard allows side-by-side “what-if” scenario runs for multiple candidate sites—e.g., 10-, 50- and 100-year flood events or ember-spotting risk under 30 mph wind gusts.
Value Delivered
30% faster due-diligence cycle: cut acquisition underwriting from 4 weeks to 2 weeks.
$1.2 million average in avoided remediation or insurance premium surprises per high-risk site.
Data-backed negotiations: leverage quantifiable risk deltas to secure price adjustments or seller concessions.
Portfolio Risk Monitoring & Regulatory Compliance
Continuous climate exposure tracking and reporting. REITs and asset managers hold portfolios of 500+ properties spanning multiple counties; manually updating hazard profiles for each asset under evolving climate normals is labor-intensive and error-prone. Missing or outdated risk disclosures can incur regulatory penalties—SEC fines average $4 million for inaccurate climate reporting—and erode investor confidence.
Orbyfy Physics-AI Digital Twins™️
Automated Batch Processing ingests entire property rolls (addresses, building footprints) and assigns physics-rooted risk scores—flood depth (10-, 50-, 100-year), fire-intensity fields, wind-load stress—for every address.
Regulatory-Ready Reports produce TCFD-aligned tables: expected loss %, PD/LGD under multiple scenarios, and portfolio climate VaR. Pre-formatted Excel or JSON outputs align with SASB and SEC requirements.
Value Delivered
100% auditability: every risk metric is traceable to underlying PDE-constrained simulations.
50% labor savings in quarterly risk-update cycles (from 4 weeks to 2 weeks).
Enhanced investor trust: transparent, physics-backed disclosures reduce cost of capital by an estimated 10-basis points on average.
Retrofit Prioritization & Resilience Planning
Optimize capital for property hardening. Building owners face $2–10 million in resilience retrofit costs (e.g., flood barriers, fireproof cladding, HVAC upgrades). Without clear ROI, budgets stall and vulnerabilities persist. Local building codes (e.g., ASCE 24-14 for flood-resistant design) and upcoming climate-adaptive code updates mandate costly interventions.
Physics-AI Digital Twins™️
Damage & Risk Scorecards: Physics-AI generates per-building damage curves (e.g., expected inundation vs. structural integrity, ember-exposure vs. ignition probability) under selected scenarios.
Prioritization Engine ranks assets by Expected Loss Reduction per Dollar Spent—factoring in replacement cost, occupancy type and IRR targets—across 10-, 50- and 100-year return periods.
Value Delivered
40% reduction in portfolio-wide expected loss by directing capital to the top 10 % most at-risk properties first.
35% improvement in ROI on resilience spending (for every $1 million invested, $1.35 million in avoided future losses).
Code-Compliance Assurance: explicitly verifies retrofit plans meet or exceed ASCE 24-14 and local flood-resiliency ordinances, de-risking permit approvals.
Orbyfy Physics-AI™️ Digital Twins
Quantify climate risk as easily as searching for an address on Google Maps.
Our solutions
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Orbyfy Physics-AI Digital Twins™️
Adaptable city-scale digital twins for climate risk modeling: hurricanes, flooding, wildfire, hail, drought & erosion. Making climate risk impact data accessible and as easy as searching for an address. Period.
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Orbyfy Aqualyt™️ Flood Digital Twin
City-scale hydrologic digital twins powered by Physics-AI. Translating flood climate risks into hydrologic forces, inundation depths and damage impacts on buildings, infrastructures and communities.
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Orbyfy Ignite™️ Wildfire Digital Twin
City-scale wildfire intensity and propagation twins powered by Physics-AI. Translating wildfire climate risks into climate forces and impacts and damages for buildings, infrastructures and homes.
Orbyfy Physics-AI Digital Twins™️
Geolocate risks. As easy as searching for an address on Google Maps.
Key benefits across real estate & building portfolio
Intuitive, Browser-Based UI: Geo-located hazard layers, time-slider controls and exportables (GeoJSON/CSV/Excel) for portfolio-wide or drill-down views.
API-First Integration: Seamlessly plug risk metrics and scenario outputs into ERP, CRE loan systems or ESG dashboards.
Explainable Physics-AI: Every heatmap and loss estimate traces to well-known PDEs for hydrology, wildfire spread or wind loading—no black boxes.
On-Demand “What-If” Scenarios: Instantly test property-specific outcomes under evolving climate factors—sea-level rise, soil-saturation thresholds or fuel-moisture conditions.
Start a pilot today. Let us show you how.
Request a Demo → See site-specific hazard maps and portfolio scorecards in minutes.
Integrate via API & Outputs → Automate continuous risk monitoring within your asset-management workflows.
Partner with Orbyfy → Co-develop custom modules, from storm-surge analysis to ember-spot modeling.
Turn climate uncertainty into resilience—one property at a time.