NEW YORK, NY – RS Metrics, a leading provider of geospatial and asset-level data, has been selected for inclusion in the Q2 2025 issue of the Sustainability Risk Dashboard, a specialized database published by the United Nations Environment Programme Finance Initiative (UNEP FI). The company’s foundational product, ESGSignals®, has been featured for its solutions covering physical risk, biodiversity, and transition risk data, affirming RS Metrics’ mission to provide the financial market with verified, objective data essential for the global business sector’s sustainability transition.
The UNEP FI’s Sustainability Risk Dashboard is a highly respected, open database maintained by the UNEP FI Risk Centre. Published quarterly, this resource identifies and recognizes premier data suppliers of environmental and social risk insights, specifically those offering solutions tailored to the sophisticated needs of financial customers such as banks and asset managers.
RS Metrics stands out among its industry peers with ESGSignals®, a data product that meticulously measures the environmental, climate, and physical risks associated with specific company locations. Its competitive edge lies in its unique asset-level approach, which enables customers to obtain granular, location-specific information rather than generalized company-wide insights. The tool also implements an advanced aggregate risk assessment method, constructing a comprehensive score for each region based on the interdependencies of various risks.
“Being included in UNEP FI’s Sustainability Risk Dashboard affirms the growing importance of asset-level data in managing climate risk,” said Libby Bernick, a global sustainability and climate thought leader and Senior Advisor at RS Metrics. “RS Metrics empowers financial institutions with forward-looking, location-specific insights to reduce risk, improve due diligence, and meet evolving regulatory demands.”
The powerful applications of ESGSignals® are diverse and impactful, spanning various functions within the finance sector. These include data assessments for portfolio management, enhanced due diligence, sustainability-focused banking processes, adherence to crucial regulations (such as TNFD, EUDR, and CSRD), and informed green bond investments.
This collaboration with UNEP FI marks another significant achievement for RS Metrics following a year of substantial excellence, enhancement, and expansion. “This is the first time RS Metrics is being featured in UNEP FI’s sustainability dashboard and it is an acknowledgement of the team’s effort and success during the past couple of years,” said Magnus Billing, President of RS Metrics Europe and former CEO of Nasdaq Nordics Ltd. “As climate risks, biodiversity, and transition plans are becoming a natural component of business models across most industries, RS Metrics’ solutions can enhance models’ capabilities to deliver value in an ever more complex business environment.”
Interesting Industry Facts
- The global market for ESG data is experiencing rapid growth, driven by increasing regulatory pressure and investor demand for transparent and reliable sustainability insights.
- RS Metrics utilizes proprietary, patented technology that combines advanced computer vision and machine learning to analyze geospatial datasets, providing a unique and highly accurate source of information for financial decision-making.
- The company’s asset-level data approach is particularly valuable for due diligence and risk management because it allows for a more precise understanding of an asset’s true exposure to physical and transition risks compared to traditional company-level reporting.
- RS Metrics was founded in 2010, demonstrating a long-standing commitment to leveraging technology to provide fundamental insights and predictive signals for businesses and investors.
About RS Metrics
Founded in 2010, RS Metrics provides fundamental insights, trends, and predictive signals for businesses and investors by bringing together global geospatial datasets at the asset level. The company’s proprietary, patented technology platform utilizes advanced computer vision and machine learning, coupled with a scaled QC workflow, to generate accurate, predictive, and consumable information for environmental, climate, and physical risk assessments.
Data Demo and Contact Information
To learn more about the platform’s capabilities, view a demo of ESGSignals® for Portfolio Analysis within the Materials Sector using BHP as an example.
Contact:
Desi Stoeva
RS Metrics
