Asset-level environmental metrics and business intelligence solutions

A leading geospatial analytics tool helping businesses measure their ESG impact and benchmark against competitors.


Its proprietary, patented technology leverages advanced computer vision and machine learning to extract meaningful and ready-to-use data from a variety of location-based sources, providing predictive analytics, alerts, and end-user applications for decision making in financial services, ESG, real estate, retail, industrials, metals, government, and academic research.

Why choose ESGSignals®?

  • Incorporating ESG metrics alongside traditional financial ratios, debt and equity valuations has a high correlation to financial performance and stability.

  • Within the theme of ESG, environmental impact and climate-related physical risk is top of mind for global investors. Asset managers have recently been stressing the need for better-informed capital allocation that could be achieved by reviewing company data and metrics that are real-time, verifiable, and comparable.

Today, advances in high-resolution satellite imaging and cloud computing combined with the power of artificial intelligence and machine learning have created exciting new capabilities in analyzing geo-spatial areas of interest

Richard Anfang

Senior Adviser Technology

Benefits of our AOI
(Area of Interest) approach



Transforming asset-level data of any size into insights with bigger-picture trends and events and in mind using areas of interest



Real-time benchmarks on ESG factors across the value chain of a company, country, region



Comprehensive approach covering all major environmental indicators – emissions, land usage, water stress, physical risks, stranded assets, production, and employment trends.



Easy customization of asset monitoring preferences depending on the industry of interest.

Where do you fit in?

ESGSignals® analyzes geolocation based data from ~50 sources, including aerial and satellite imagery, weather, water, land cover, wind-speed, and methane flaring data sets to create the most comprehensive environmental view of an Asset.

The platform provides comparable environmental data across companies and sectors which analysts can use to create independent, verifiable, and objective indices and benchmarks.

  • Investors are moving away from self-reported Corporate Sustainability Assessments (CSA) and are demanding standardized, comparable, asset-level ESG metrics from corporates. The metrics that ESGSignals® provides allow for improved best-in-class rankings based on ESG metrics and integrating the data within independent sets.
  • ESGSignals® provides you access to the same professional underlying asset-level data and analysis upon which index providers and ratings agencies are building their ESG models improving corporates’ chances to identify risks and opportunities.
  • Asset managers can use the environmental asset-level metrics to measure ROI, reduce headline risk, and create an impact
  • SFDR Regulations: asset managers can use the independent, real-time, scalable ESG metrics to disclose the ESG performance of the companies they have allocated assets in
  • Impact investors can use ESGSignals to receive objective information on the past, present, and future exposure to environmental risks for areas such as water stress, land use/land cover, biodiversity, etc
  • The lack of complete company disclosures, consistent reporting, and standardized metrics has made it hard for rating providers to incorporate effectively and correctly ESG data into their existing rating systems. ESGSignals® helps overcome that by providing independent, verifiable, and near real-time asset-level data which reveals otherwise overlooked metrics on a scalable level.
  • Metrics that are specifically designed for enhanced passive indices which are a departure from market cap weighted indices with risk based ESG optimization in mind.
  • Metrics that are updated on a monthly/semi-annual/annual basis can also be incorporated during periods of rebalancing, enhancing index returns and selection criteria.

How modular and scalable are our applications? Learn about our model and methodology below

Build Blocks for Models, Ratings and Benchmarking

The building blocks approach allows for choosing an industry of interest, filtering and scaling up depending on the level of insights.

Our products in action

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