Clarity AI - AI-Powered Extra-Financial Intelligence
Data category
- Environmental data
- Governance data
- Indices/Exchange data
- Rankings
- Ratings
- Research data
- Social data
- Impact data; Regulatory Compliance data; Climate data; Nature data
The data offers solutions for:
- Carbon footprinting
- Climate scenario analysis
- Controversies
- Deforestation
- Environmental impact analysis and insight
- Fund ratings
- 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
- Supply chains
- Temperature alignment
- Transition plan assessments
- Transition risk
- Value at risk
- Exposures, Net Zero Alignment; UK SDR; Article 29 French Energy, Climate Law
Who are the data users?
- Corporates
- Financial institutions
- Government
- Investors
- Trustees
- Consumers; Retail Banking Clients
What asset class does the data cover?
- Alternatives
- Fixed income
- Listed equity
- Private equity
Brief description of the data offering
Clarity AI is an AI-native platform providing extra-financial data and analytics to support capital allocation, regulatory compliance, risk management, and long-term strategy across capital markets, companies, and governments.
Our approach combines three core elements: extensive global coverage, research-backed and science-based methodologies, and analytics tools designed to integrate into client workflows. Powered by proprietary datasets and advanced artificial intelligence, our solutions deliver transparent and auditable insights suitable for investment and reporting use cases.
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Our infrastructure supports full-cycle data processes, including automated extraction, mapping, validation, and aggregation. Capabilities are delivered through a modular architecture via APIs, MCPs, widgets, or standalone applications, enabling flexible integration.
Who We Serve
- Financial Institutions: We support leading global investors and banks in integrating extra-financial insights into investment and risk processes. Some of our clients include BlackRock, Nordea, Santander, HSBC, and PGIM.
- Corporates (Public & Private): We help companies use extra-financial data to enhance transparency, strengthen investor communication, and improve access to capital.
- Consumers: We enable millions of individuals to make more sustainable, informed choices through embedded B2C solutions, especially in retail banking.
Our Offering Includes:
- ESG Integration: ESG ratings, benchmarking, controversy monitoring, exposure screening, and supply chain risk analysis.
- Regulatory Compliance Tools: Coverage across SFDR, EU Taxonomy, MiFID II (sustainability), ESMA naming rules, regional labels, TCFD, and CSRD reporting.
- Climate Analytics: Carbon footprinting, climate scenario analysis, physical risk, and transition plan assessment.
- Nature & Biodiversity: Geospatial asset mapping and physical risk, biodiversity footprinting, and TNFD-aligned reporting.
- Impact Assessment: Alignment with the UN Sustainable Development Goals (SDGs) and impact reporting.
Key Differentiators
- Largest Coverage at Scale: Scalable infrastructure to map the full and evolving universe, ensuring comprehensive visibility.
- Transparent and Auditable Data: Fully traceable methodologies and datapoints designed to support confident investment and reporting decisions.
- Seamless Integration: Modular delivery via APIs, MCPs, widgets, and applications, enabling integration into existing workflows.
A Powerful, Transparent, AI-Driven Ecosystem
Clarity AI provides one of the most comprehensive and transparent extra-financial data ecosystems in the market, with a strong focus on coverage, quality, and explainability:
- Coverage across 2.3 million companies, 430,000+ funds, and 400 governments
- AI-driven data collection using proprietary NLP and machine learning applied to company disclosures, filings, and news
- Robust quality controls, including anomaly detection and expert validation, supporting >99% accuracy
- Gap-filling models to improve coverage and comparability across issuers
- Full access to methodologies and documentation, supporting transparency and regulatory alignment
Extra-Financial Data, Powered by GenAI
Clarity AI enhances extra-financial analysis through Generative AI, enabling faster access to timely and decision-useful insights while maintaining strong quality controls.
- AI-Powered Company Reports: Generated on demand using the latest available data, providing structured and up-to-date insights. Outputs are grounded in proprietary data, guided by expert-defined methodologies, and subject to validation frameworks to ensure accuracy and consistency
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- Direct Data Collection & Management: Clarity AI offers a unified governance platform that streamlines traditionally manual and fragmented data collection into an efficient, AI-powered workflow. Investors can quickly launch campaigns with expert support, while reporting companies benefit from built-in governance tools that enable clear accountability, coordinated data ownership, and guided reporting. The platform also delivers full visibility into progress and enables the transformation of reported data into actionable insights through benchmarking and reporting tools.
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With Generative AI, we are bringing Clarity AI analytical capabilities to the front line, for clients to interact directly with complex data. They can now move from insight to action faster than ever, and stay ahead in a rapidly evolving regulatory and market landscape.
Where and how do you source your data?
Clarity AI sources data from a wide range of channels to ensure comprehensive and high-quality sustainability insights. These include direct disclosures from companies, reference data providers, third-party datasets, regulatory filings, news sources, academic research, and asset allocation data.
To go beyond traditional data collection, we leverage proprietary AI and machine learning technologies that enhance both data breadth and depth. Our advanced natural language processing (NLP) techniques extract both quantitative and qualitative information from corporate reports and regulatory documents with high accuracy. We also deploy machine learning classifiers to process and monitor hundreds of thousands of news articles daily, flagging controversies and other sustainability-relevant events across thousands of companies.
Accuracy and validation are core to our process. We apply a multi-layered quality assurance framework combining automated controls, machine learning, and expert oversight. Automated quality checks ensure consistency across datasets, while ML-based quality assessment models flag datapoints requiring further analysis and continuously learn from newly collected data. In parallel, data quality sampling processes help verify both accuracy and completeness. When needed, senior analysts review flagged datapoints as an additional layer of validation. This multi-layered approach enables us to maintain an accuracy rate exceeding 99%.
When data is not publicly reported, especially for private companies, we use proprietary estimation models to fill in the gaps. These models incorporate domain expertise, industry benchmarks, and company-specific attributes to generate reliable estimates for key sustainability metrics.
We are also committed to transparency and continuous improvement. Our platform allows users to trace every data point back to its source and methodology.
What is the cost for your data offering?
Our pricing model is designed to be flexible and tailored to client needs. Clients can select the specific data, tools, and capabilities relevant to their use cases, avoiding reliance on fixed or bundled offerings.