AI TOOL PROFILE
Clarity AI: ESG Analytics and Extra-Financial Intelligence
- Finance and Accounting
- ESG Analytics
- 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.
At a glance
- Best for
- Asset Managers, Asset Owners, Wealth Managers, Banks, Corporate Sustainability Teams
- Key use cases
- Regulatory Reporting, Carbon Footprint Tracking, ESG Risk Management, SDG Alignment Assessment, Climate Scenario Analysis
- Integrations
- API, Datafeeds, AI connectors
- Official website
- Visit Clarity official website
How AI is used
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
ESG Scoring
Provides ESG scores based on data-driven models designed to reduce subjectivity.
Climate Risk Assessment
Includes carbon footprint measurement and climate scenario analysis to identify potential financial impacts.
Regulatory Compliance Support
Supports reporting frameworks such as SFDR, EU Taxonomy, MiFID II, and TCFD.
Impact Measurement
Tools designed to assess portfolio alignment with UN SDGs using science-based data.
Controversy Monitoring
Scans global sources to detect and categorize ESG-related events and reputational risks.
Data Coverage
Provides data on 98,000 issuers, 2.3 million private companies, and over 450,000 funds.
Use Cases
Regulatory Reporting
Generating disclosures for SFDR, EU Taxonomy, and Pillar 3 ESG reporting.
Carbon Footprint Tracking
Measuring Scope 1, 2, and 3 emissions across a portfolio aligned with PCAF and TCFD standards.
ESG Risk Management
Setting and monitoring exclusion criteria for sectors such as fossil fuels or weapons.
SDG Alignment Assessment
Evaluating how portfolios contribute to Sustainable Development Goals using revenue-linked data.
Climate Scenario Analysis
Testing portfolios under different climate scenarios to pinpoint physical and transition risks.
Integrations
- API
- Datafeeds
- AI connectors
FAQ
Who is Clarity AI designed for?
- It is designed for financial institutions such as asset managers, banks, wealth managers, and asset owners, as well as corporate entities and governments.
Which regulatory frameworks does Clarity AI support?
- The platform supports several frameworks, including SFDR, EU Taxonomy, MiFID II, Pillar 3 ESG reporting, and TCFD.
How does Clarity AI handle data quality?
- 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
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