Sustainable Finance Regulatory Outlook 2025

Raw Data Solutions

Integrate Market Leading ESG and Sustainability Data

Leverage market leading sustainability raw data; focused on flexibility, transparency and quality.

Integrate Market Leading ESG and Sustainability Data into your Ecosystem

Hundreds of quantitative and qualitative indicators to choose across environmental, social or governance pillars. Explore our full suite of data solutions.

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Clarity AI’s ESG Indicator List

Market leading coverage

Ensure an exhaustive analysis with data for 40,000+ issuers

Over 40,000 issuers, up to 3x more than the average of the market. As a principle we collect every company that reports, and expand our coverage with AI estimations.

We cover over 98% of MSCI ACWI IMI, 99% of S&P 500, 98% of STOXX Europe 600 and TOPIX and 94% of Russell 2000 with at least 8 of the most relevant ESG indicators.

Industry Leading Quality

Make ESG Investment Decisions with Confidence

01

ESG and Sustainability Data Collection Process

Each data point is compared with the value of a third party provider when available, and independently checked by up to four different people.
02

Reliability Algorithm

An ML algorithm allows us to identify values that do not meet the expectations for a particular company based on many features and their non-linear relationships.
03

Validation Process

An independent team of ESG and sustainability data experts validates each version of our dataset, and connects with issuers to adjust and understand inconsistencies.

Explore Thematic Templates

Identify the most relevant indicators for specific data needs, based on topic themes.
Data Solution Themes Include:
  • GHG emissions
  • Energy transition
  • Water and natural resources
  • Gender Equality
  • Human rights and labor relationships
  • Good governance

Track Datapoints to the Source

Our leading metadata allows users to understand the ESG and sustainability data sources, where available, to gain confidence.
Some of our features include:
  • Link to report and page where a datapoint was disclosed
  • Identification of the type of disclosure (reported, estimated…)
  • Date of the disclosure
  • Name of the ESG data provider

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Our team of experts creates and packages unique insights from proprietary data they analyze and model with the power of machine learning.

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