Clarity AI: ESG Analytics and Extra-Financial Intelligence
Clarity AI helps asset managers and financial institutions integrate ESG and climate data into their decision-making. It is designed for teams that need to generate reporting for regulatory frameworks.
At a glance
- Category
- Finance & Accounting
- Best for
- Asset Managers, Asset Owners, Wealth Managers, Banks, Corporate Sustainability Teams
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Regulatory Reporting, Carbon Footprint Tracking, ESG Risk Management, SDG Alignment Assessment, Climate Scenario Analysis
- Integrations
- API, Datafeeds, AI connectors
- Official website
- clarity.ai
Clarity AI is an AI-native platform for extra-financial intelligence. It focuses on ESG scoring, climate risk, and impact measurement, utilizing a hybrid model of AI and expert validation to provide data-driven insights.
The platform is designed for financial institutions, including asset managers, banks, and wealth managers, as well as corporate entities and governments. It supports data analysis across a wide range of issuers, private companies, and funds.
Practically, the tool helps with carbon footprinting, monitoring ESG controversies, and assessing portfolio alignment with UN Sustainable Development Goals (SDGs). It also supports regulatory reporting workflows to help users meet specific disclosure requirements.
Buyers should confirm how the API or datafeed options fit into their existing internal workflows and verify if the specific regulatory frameworks they require are supported.
Key Features
Provides ESG scores based on data-driven models designed to reduce subjectivity.
Includes carbon footprint measurement and climate scenario analysis to identify potential financial impacts.
Supports reporting frameworks such as SFDR, EU Taxonomy, MiFID II, and TCFD.
Tools designed to assess portfolio alignment with UN SDGs using science-based data.
Scans global sources to detect and categorize ESG-related events and reputational risks.
Provides data on 98,000 issuers, 2.3 million private companies, and over 450,000 funds.
Use Cases
Generating disclosures for SFDR, EU Taxonomy, and Pillar 3 ESG reporting.
Measuring Scope 1, 2, and 3 emissions across a portfolio aligned with PCAF and TCFD standards.
Setting and monitoring exclusion criteria for sectors such as fossil fuels or weapons.
Evaluating how portfolios contribute to Sustainable Development Goals using revenue-linked data.
Testing portfolios under different climate scenarios to pinpoint physical and transition risks.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is designed for financial institutions such as asset managers, banks, wealth managers, and asset owners, as well as corporate entities and governments.
The platform supports several frameworks, including SFDR, EU Taxonomy, MiFID II, Pillar 3 ESG reporting, and TCFD.
It uses a combination of proprietary collection systems, AI-powered processing, and expert validation to ensure data is traceable back to the source.
Source category: Finance & Accounting
Source subcategory: ESG Analytics
