Protecting People, Planet, and investment by Prioritizing ESG Incidents
Stay ahead of ESG risks with real-time incident detection
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Syenah’s ESG Incident Intelligence platform uses cutting-edge Natural Language Processing (NLP) technologies, specifically LLMs, to detect ESG incidents, risks, and controversies from a diverse range of sources such as news article, social media, NGO and Regulatory reports. This is achieved by processing hundreds of thousands of sources in real-time, ensuring that the platform is constantly up-to-date and comprehensive. Once detected the ESG incidents are classified based standard taxonomies such SASB, GRI and PAI.The incidents are subsequently stored in a supply chain knowledge graph, which is further augmented by incorporating external datasets to enrich the extracted incidents with supplementary information and context. In addition to the supply chain knowledge graph, the platform also offers LLM based report generation and Q&A functionalities. These functionalities enable users to generate comprehensive reports on a company’s ESG performance and ask questions about the ESG data. The report generation functionality leverages the power of LLMs to provide users with detailed insights into a company’s ESG performance, including key metrics, trends, and potential areas for improvement.
Investors can stay on top of emerging ESG risks and controversies in real time and take proactive steps to mitigate them with Syenah’s platform. By leveraging the latest in ESG incident intelligence, investors can avoid negative consequences, maintain their reputation, and stay compliant with nascent ESG regulations.
Syenah’s ESG incident intelligence platform provides a comprehensive view of ESG incidents by analyzing the sustainability performance of the target company’s entire supply chain. This enables users to identify potential ESG risks and opportunities to drive positive ESG impact throughout the entire supply chain, not just within the company itself.
Syenah’s platform generates reports based on the user’s queries, ensuring that all important and salient points from the original texts are included. The reports also incorporate any relevant quantitative information selected by the user. The platform identifies key topics and concepts, such as risk, controversy, opinion, and forecast, and incorporates them into the reports. All reports include hyperlinks to the original texts and documents for transparency and accountability. Users can generate reports based on publicly available data or combine them with their own proprietary in-house data and documents.
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Users do not need to spend hours or day manually searching for information about a company's ESG performance. Our platform provides them with a comprehensive summary, reports and answers in a matter of minutes.
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With the help of NLP technology to analyze credible news and NGO reports, providing accurate and unbiased information about a company's ESG activities by going to the very sources of information, Users do not need to worry about sifting through unreliable sources and biased of information.
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Users can choose the desired time for analysis and select the relevant ESG categories, allowing them to focus on specific aspects of a company's performance. This means that users do not need to spend time analyzing irrelevant information.
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By providing evidence in the form of news articles for each piece of information presented, we ensure that our users have access to the original source material to verify the accuracy of the data, therefore users do not need to spend time to find sources to verify the information.
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Our platform performs sentiment analysis on each category of ESGs on the company's actions in those areas.
Syenah is a deep AI startup based in Frankfurt, Germany. As a team of data scientists and engineers with extensive experience in different Machine Learning and Deep Learning fields. We believe all businesses have a responsibility to prioritize sustainability, transparency, and ethical practices, and our state-of-the-art platform empowers stakeholders to hold them accountable.
Our platform is powered by cutting-edge technologies, including in-house document retrieval, a supply-chain knowledge graph, and the powerful NLP technology. This allows us to provide our users with the most accurate and up-to-date information available. We understand that the investment landscape is constantly evolving, and our platform is designed to keep pace with these changes.
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