Spatial Risk Systems provides a geospatial data platform that aggregates and standardizes climate, carbon, and socio-economic data to enable precise facility-level risk analysis for investors and underwriters. This technology addresses the challenge of fragmented and costly risk assessment by delivering a unified knowledge graph that enhances decision-making through detailed insights into environmental vulnerabilities at specific asset locations.
Funding
$410K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Financial risk analysis at the physical asset level requires integrating numerous spatial and climate-related data sources, which is complex, expensive, and carries high execution risk. Existing methods for measuring physical risks are often bespoke and costly, and asset location data is contributed on a company-by-company basis, making portfolio or sector analysis difficult.
Solution
Spatial Risk Systems (SRS) offers a geospatial data platform that aggregates and standardizes climate, carbon, environmental, socio-economic, and traditional risk indicators to enable precise facility-level risk analysis. The platform unifies disparate data sources into a spatial knowledge graph, providing detailed insights into environmental vulnerabilities and risks at specific asset locations. This allows clients to append location-based factors to their existing portfolio analytics, creating a multidimensional, data-driven view of their investments and enhancing decision-making. The SRS Spatial Knowledge Graph is generative AI ready, simplifying data ingest into existing workflows and business intelligence dashboards.
Target Audience
The primary target audience includes financial institutions, corporate entities, government organizations, portfolio managers, research analysts, data science professionals, M&A and private equity firms, and real estate investors who require detailed, location-based risk assessments for their assets and investments.
Features
- Aggregates and standardizes over 270 spatial-level risk factors across climate, carbon, environmental, and socio-economic categories.
- Provides a unified knowledge graph optimized for AI, standardizing hundreds of separate data schemas.
- Offers facility-level risk scores for corporate equity, fixed income, and US municipalities.
- Enables users to evaluate spatial-level risks by aggregating facility-level risk to corporate and government identifiers.
- Integrates spatial factors into existing risk analysis workflows and business intelligence dashboards.
- Offers an online mapping tool and sample data files for easy embedding into existing financial datasets.