Corporate Asset Class

With over 50,000 Public and Private Issuers, 900,000 asset locations. SRS provides a turn-key solution illuminating hundreds of key factors for both Corporate Level and Facility Level Spatial Factors for use in Portfolio Analytics, Fundamental Research, Credit/Risk Analysis, and Transaction Due Diligence.

  • Climate/Physical Risks
  • Facility-Level GHG Emissions
  • Environmental Conditions
  • Socio-Economic Conditions
  • Historical Weather Events

US Municipal Asset Class

18,000 Issuers, 1.1 million securities.

City Governments

School Districts

County Governments

State Governments

Revenue Authority Issuers

 

With over 270 factors, including...

  • 18 Climate/Natural Disaster peril types
  • Historical Weather Event history and Damages
  • Forward Looking Climate Intelligence
  • Environmental Factors (Air Quality, Water Quality, Toxic Release)
  • Socio-Economic Key Attributes

SRS empowers Investors, Underwriters, and Issuers to Fully Evaluate the Cost of Capital from a Geospatial Perspective.

 

Insurance

Comprehensive data solution for underwriters, brokers, and carbon credit trading.

  • 270 Risk Factors tracked down to Facility and Census Tract Levels.
  • 1.7 million weather events back to 1950 with $ Damages.
  • The Definitive Global Source for Asset Level GHG Emissions Linked to Corporate Parents

Washington County, Oregon NOAA Severe Weather Events/Damages

Washington County, Oregon NOAA Weather Events/Damages

Supply Chain

Model Impacts of Real-Time Weather and Political Events on Asset Locations, Supply Chains, and Commodities
Hurricane Ian (2022) - Key infrastructure assets impacted by the storm path

Financial Institution Stress Testing

SRS spatial-level knowledge graph solution provides a comprehensive picture Physical Risk Exposures, Environmental Impacts, Expected Annnual Losses, and weather event history with $ damages back to 1950.

  • CECL (Current Expected Credit Losses)
  • CCAR (Comprehensive Capital Analysis and Review)

Major US Bank – (2018-2022) Census tract level mortgage originations aggregated by top physical risks.

Real Estate Development | Investing

SRS’s spatial-level knowledge graph provides a simple turn-key solution for anyone involved in real estate develop, investing and site selection to connect thousands of spatial level attributes with a specific point on the map.

Climate
o Top Physical Risks
o Expected Annual Losses
o Storm Event History

Environmental
o GHG/Carbon Emissions
o Toxic Release
o Air Quality
o Water Quality
o Proximity to Potential Hazards

Socio-Economic
o Population/Age
o Income/Poverty
o Education
o Key Health Indicators

Mobility

AI Training Data Sets

Much has been written about how knowledge graphs are foundational to AI, Large Language Models, and generative AI. In SRS’ spatial-level knowledge graph where ever data point is connected to any other data point is a major source for fact based training sets. No fabricated data. Real Facts.

  • Climate
  • Environmental
  • Socio-Economic
  • Facility Location, Function and Ownership

Energy/Power Generation

NextEra Energy, Inc.