How to Get Started with Orbyfy™️

A simple, three-step process to unlock physics-grounded climate insights for your assets, portfolios and infrastructure.

1. Define your geographic scope

First, pinpoint the physical footprint you want to analyze. This can be as narrow as a single address or as broad as an entire metropolitan area.

  • Addresses & Parcels: Individual homes, commercial buildings, substations, data centers

  • Neighborhoods & ZIP Code Zones: Aggregated clusters for portfolio-level assessment

  • City or County Boundaries: Comprehensive urban or regional digital twins

  • Critical Infrastructure Corridors: Transmission lines, pipelines, road networks

Output: A geospatial template (GeoJSON, Shapefile or CSV) containing the coordinates and extents for all points, polygons or line-features under study.

2. Select your climate scenario

Next, choose the hazard and scenario you want to model. Orbyfy supports many different climate scenarios.

  • For Utilities

    • High-intensity sparks from vegetation impingement on distribution conductors

    • Extreme wind-driven ember transport across transmission corridors

  • For Banks & Insurers

    • 1-in-100-year flood or storm surge events across loan and policy portfolios

    • Scenario stress-tests under elevated temperature, wind or precipitation extremes

  • For Real-Estate & Developers

    • “What-if” future storm intensities for code-compliant building designs

    • Flood-proofing analysis: levee breach, rapid snowmelt, urban drainage failure

Output: A scenario manifest—detailing hazard type, return period or forecast window, and any custom physics-AI parameters.

3. Identify your key outputs

Finally, tell us what insights you need to drive decisions. Our Physics-AI engine will translate climate forces into impact metrics, maps and risk scores. Common outputs include:

Asset & Portfolio Metrics

  • Proxy building material & code assumptions

  • ASCE-compliant design specifications & loadings

  • Structural vulnerability profiles

  • Scenario exceedance probabilities

  • Portfolio climate VaR tables

Geospatial Deliverables

  • Flood-depth & fire-intensity raster layers

  • Geolocated damage categorizations (CSV/GeoJSON)

  • Time-series animations of hazard progression

  • Interactive dashboard with time-slider control

  • API endpoints for automated GIS or BI ingestion

Risk & Financial KPIs

  • Damage & risk scorecards

  • Climate-adjusted probability of default (PD)

  • Loss given default (LGD)

  • Expected loss % (HAZUS, ASCE 24-14)

  • Return periods & exceedance curves

Output: A tailored package—exportable CSV/GeoJSON layers, interactive browser visualizer, API endpoints, and tabular KPI reports—for seamless integration into your workflows.

What we deliver.

🟣 Data-as-a-Service

🟣 CSV outputs or API integration

🟣 On-prem or hosted browser-based embedded visualization application

🟣 Browser-based embedded visualization application

Quantify acute physical climate risk impacts on buildings, infrastructures and homes.