Successful
Pivot to ESG

In 2019 and 2020, we went to market with an ESG-focused transition product, MetalSignals. In 2021, we expanded ESGSignals from 2 to 50+ geospatial data sources and created ~50 environmental and physical risk metrics per asset.

100 +

Environmental, Climate & Physical Risk metrics

We expanded ESGSignals from 2 to 100+ geo-spatial data sources and created ~50 environmental, climate and physical risk metrics per asset

Global Distribution

Open up Reference Design to 1000s of data providers who want to leverage AssetTracker to generate ESG, Climate, Physical risk insights and sell through RS Metrics.

Accessible to ALL on Usage-based model

Usage based access and pricing and billing for AssetTracker and ESGSignals products to customers globally. We anticipate 1000s of ESG data providers, researchers, consultants, audit, assurance will be using the data.

Where it all started

Our first big project where we measured the traffic to parking lots at leading locations

In 2010, TrafficSignals enabled the tracking of retail traffic data and signals for retail and restaurant chains

It was a natural evolution as we expanded from understanding retail traffic dynamics to expanding to commercial real estate as a whole.

In 2011, through CRE Trends we identified trends and signals for commercial real estate properties such as retail office, industrial spaces.

To better understand operations and production for global factories and distribution centers was the next step

In 2012, we established Factory Signals which monitored trends and signals across production, raw materials usage and employment for global factories and Distribution Centers

For the metals, mining and related trading it was imperative to consider trends and signals the key metals and coal production.

In 2017, we pioneered one of our key legacy products MetalSignals which observed trends and signals for zinc, aluminum, copper, iron ore, bauxite, coal and steel at 500+ global smelters, terminals and storage sites

Achieving real time monitoring across industries was a key concern for many stakeholders whether it be for investment or supply chain management purposes.

In 2019, GREAT established the comprehensive and active tracking of mines, smelters, factories leading to intelligent management of supply chain risks combined with PAAS

Our product journey culminated into the development of our flagship ESG and environmental, climate and physical risk data and metrics product

In 2019, ESGSignals was the culmination of our product development and journey to address fundamental gaps in the ESG and Sustainability domain for objective, verifiable and independent data and metrics

10+ Years of Geospatial Expertise

We brought our 10+ years of geospatial expertise coupled with our AI, ML, data science, and financial product expertise to bear on creating the world’s first asset-level ESG platform for capital markets and corporates, which led to RS Metrics named a Geospatial ESG Leader by IDC in 2021.

RS Metrics’ 6 Areas of Expertise

GIS Expertise

In analyzing physical assets through a geospatial lens to measure emissions, water stress, land-usage, land-cover classification, exposure to biodiversity and climate physical risks

Asset Classification Expertise

Combining over 50+ open-source, regulatory, governmental, and commercial data sources to expand our asset location coverage. Currently on track to have complete coverage of MSCI ACWI by Q3 2022

Computing Expertise

Visual AI and ML, Object and Change Detection, Multi-tenant architecture, DAAS and algorithms - eg Biodiversity, Water Stress

Data Science

Identifying, optimizing diverse, non-monolithic datasets and transforming them to asset-level metrics

Financial Markets

Quantifying financial impact, materiality across equity, debt, structured finance etc. and creating reference alt-data sets for capital market stakeholders including asset managers, corporates, pension funds, banks, and regulators.

Thought Leadership

Partnering with researchers at Columbia, UC, Harvard, TNFD, UNEP, NASA, SASB, SEC, World Bank and others in helping define asset-level climate metrics and climate modeling.

Our Partners

Collaboration is the driving success of our Go-To-Market

RS Metrics sees a tremendous opportunity in the creation of a global reference dataset. Our go-to-market is collaborative and based on partnering with like-minded companies towards a common goal. We have been working closely with a diverse range of global partners in driving our Go-To-Market. The points of collaboration have been many and we look forward to developing our GTM with the expertise and capabilities of our valued partners to address the increasing demand for high-quality ESG data and analytics.

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