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What is Clarity AI??

Clarity AI is a global leader in sustainability and ESG.data analysisThe platform utilizes artificial intelligence and big data to provide transparent and reliable sustainability insights to investors, corporations, banks and governments. The platform covers more than 70,000 companies, 400,000 funds, and over 200 countries and territories, and supports compliance with international regulations such as the EU Classification, SFDR, and TCFD.

Core capabilities include ESG risk assessment, climate scenario and carbon footprint analysis, SDGs impact alignment, dispute monitoring and automated compliance reporting. Leveraging AI and NLP technologies, Clarity AI processes millions of data and news items per day, enabling early warning of risks and efficient analysis, and flexible access to existing systems through web applications, APIs or widgets.

Whether it's for portfolio evaluation by asset managers or sustainability performance monitoring by corporations and governments, Clarity AI is a trusted tool for driving green finance and sustainability by dramatically improving data transparency and research efficiency.

Core Features of Clarity AI

1. AI Driven large-scale data processing
   Using machine learning, Clarity AI analyzes more than 2 million data points every two weeks and uses AI for reliability checks and estimation modeling. The technology foundation is built on the AWS architecture and uses components such as SageMaker, EMR, and EKS to enable fast, efficient, and secure data processing and modeling.
2. High transparency and traceability
   Users can track the source of the data for each metric, specify whether the data is reported or estimated, and include links to the original source with explanatory documentation, thus increasing trust in the analysis.
3. Extensive and dynamic data coverage
   The platform continues to expand its coverage, including the addition of more than 1 million securities, more than 400,000 data points, nearly 30,000 reports, and nearly 17,000 funds (including SFDR Article 9).
4. Dispute monitoring and risk early warning
   The NLP model analyzes hundreds of thousands of news stories per day (covering more than 200 countries), automatically identifying company controversies, assigning risk ratings, and helping users identify potentially significant events in a timely manner.
5. Improve research efficiency and report automation
   Use generative AI to help users quickly summarize reports, benchmark performance and identify key risks, improving research process efficiency by 30-401 TP4T. automated reporting reduces compliance reporting time by more than 801 TP4T.
6. UN SDG Impact tracking
   Supports tracking of SDG to revenue alignment over the last five years and also provides more complete historical data in the form of data feeds that can be used to support regulatory requirements such as the SFDR, UK SDR and others.
7. Nature and Biodiversity Assessment
   Collaboration with GIST Impact to assess nature dependence and impact risks through the LEAP framework and ENCORE material matrix in support of the biodiversity targets in the EU taxonomy.

Clarity AI usage scenarios

• Institutional investors (asset managers/owners): For ESG analysis, climate risk assessment, impact portfolio construction, compliance report generation.
• Banking and Wealth Management: Provide customized climate engagement tools to increase customer loyalty and implement sustainable product compliance requirements.
• Business/Government: Conduct self-monitoring of ESG performance, regulatory filings and sustainability strategy assessments.
• Retail and consumer side: Enabling consumer navigation of sustainability logos through partnerships like Klarna's.

How do I use Clarity AI?

1. Registration and Access Options: Log in to the Clarity AI web app or request APIs/Widgets for easy integration into internal systems.
2. Select Applicable Module: Use the modules Regulatory Compliance, Climate Analysis, Risk Monitoring, Impact Assessment, Banking Tools, etc. as needed.
3. Data analysis and in-depth exploration: View ESG analytics, controversial events, impact alignment, and more through the web front end, and drill-down to see data sources and estimates.
4. Automatic report generation: Set up report templates and use generative AI to automate the output of regulatory-compliant documents.
5. Continuous monitoring and regular updates: The platform is regularly updated with data through AI, and alerts and dashboards can be set up for real-time monitoring.

Recommended Reasons

• Wide coverage and high quality of data: Coverage of a large range of entities globally, support for multiple regulatory frameworks, and data transparency and traceability.
• AI-enabled analytical efficiency: Generative and natural language processing AI dramatically improves research and reporting efficiency.
• Flexible integration and customizable capabilitiesSupport modular access, flexible adaptation of business requirements through API/Web App.
• Multi-dimensional scenarios: It not only serves wealth management, but also supports corporate reporting and retail client interaction for a wide range of applications.
• lead: Recognized as the industry's premier AI-driven sustainability intelligence platform, trusted by leading financial institutions and investors.