ESG Data Guide 2024

Clarity AI - Clarity AI Sustainability Tech Kit

Data category

  • Environmental data
  • Governance data
  • Indices/Exchange data
  • Rankings
  • Ratings
  • Research data
  • Social data
  • Impact data; Regulatory Compliance data; Climate data

The data offers solutions for:

  • Carbon footprinting
  • Climate scenario analysis
  • Environmental impact analysis and insight
  • Geospatial/location data
  • Investment decisions and portfolio insight
  • Nature-based information
  • Nature-based information: Biodiversity
  • Nature-based information: Land use
  • Nature-based information: Oceans
  • Nature-based information: Water
  • Norms-based screening
  • Physical risk
  • Reporting: CSRD
  • Reporting: EU Regulations
  • Reporting: ISSB standards
  • Reporting: Impact
  • Reporting: Other Regulations
  • Reporting: SEC climate
  • Reporting: SFDR
  • Reporting: TCFD
  • Reporting: TNFD
  • Reporting: UN SDGs
  • Social impact analysis and insight
  • Temperature alignment
  • Transition plan assessments
  • ESG Risk Custom Scoring; Corporate Controversies; Impact Highlights; Net Zero Alignment; UK SDR; Article 29 French Energy and Climate Law

Who are the data users?

  • Corporates
  • Financial institutions
  • Government
  • Investors
  • Trustees
  • Consumers; Retail Banking Clients

Brief description of the data offering

Clarity AI provides value across three dimensions: data collection, methodologies to fill in the gaps and transform the data into useful information, and data management and analytics tools. As a digital-native company, we leverage technology and AI across our offerings, encompassing impact assessment, risk analysis, thematic investments (climate and nature & biodiversity), and regulatory compliance. We offer scalable data solutions for extraction, mapping, quality assurance, and aggregation; tailored insights and analytics for any sustainability-related use case; and seamless integration into clients' workflows via widgets, API, and standalone apps. 

We collect and analyse information in meaningful ways to better understand companies’ sustainability performance. For example, we use AI to increase data collection and validate data by comparing it with historical performance from the same company and its peers or to improve our ESG data estimates to fill in gaps where companies might not be reporting. We also use AI to capture additional data from news sources. Most recently, we have launched new analytical and reporting capabilities to help our clients make sense of complex data and reduce reporting time from hours of manual work to just two clicks.

Where and how do you source your data?

Clarity AI sources data directly from companies and through other methods, such as reference data, third-party data, news, reports, and research articles, and asset allocation data. Additionally, data quantity is enhanced by proprietary machine learning estimation models, while data quality is improved by reliability algorithms.

What is the cost for your data offering?

Our pricing models are designed for maximum flexibility, tailored to meet the diverse needs of our clients. We prioritise a client-centric approach, ensuring that they pay solely for the services they need, avoiding the constraints of pre-packaged offerings.

What are the key attributes that differentiate the data you offer?

Clarity AI has powerful capabilities which leverage machine learning to analyze >2M data points bi-weekly, perform reliability checks and run estimation models at scale. Its data is extensive and includes unique coverage, including 70,000+ companies, 420,000+ funds, and 400 governments. Additionally, Clarity AI research and data science expertise is derived from a global team of sustainability and data science experts working to innovate, create, deploy and maintain tools and scores. All capabilities are wrapped in a sophisticated, yet easy sustainability tech kit with crystal clear scores and access to full bottom-up granularity (data and methodologies). Finally, the sustainability tech kit can be delivered via API into existing workflows or is available in an off-the-shelf end-to-end web app.