Introducing

RepRisk

RepRisk is a pioneer in ESG data science that leverages the combination of artificial intelligence (AI), machine learning (ML), and human intelligence to systematically identify and assess material ESG risks.

About 

RepRisk

RepRisk is a data science company that provides transparency on business conduct risks like deforestation, human rights abuses, and corruption. It uses a combination of AI and human curation to generate the world’s most comprehensive business conduct and biodiversity risk datasets on public and private companies, real assets, and countries. Clients use RepRisk risk data to enable efficient decision-making and support alpha generation and value preservation for their organization, investments, and business interests. Since 2006 the world’s leading banks, largest investment managers, corporates, and largest sovereign wealth funds have trusted RepRisk data for their business conduct risk assessments and due diligence processes.

Why choose 

RepRisk

  • Captures any company or project worldwide exposed to ESG risks
  • Applies an outside-in approach to assess a company’s business conduct to ensure the data is neutral and objective  
  • A pioneer and leader in ESG Data Science that uses AI and advanced ML combined with human intelligence to deliver daily-updated, relevant, and actionable data

Why 

RepRisk

 chose Manaos

Through our partnership, Manaos users will have access to RepRisk’s dataset of all publicly listed companies subject to risk incidents. This will enable Manaos users to identify, assess, and monitor ESG and business conduct risks worldwide, everyday, leverage fast-moving risk signals and actionable insights to generate alpha and flag security price risks, Run extensive back tests and quantitative analysis to identify market trading signals and ensure compliance with international standards including the UNGC, UNPRI, and the SDGs.

Gina Walser
Head of Marketing & Communications

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RepRisk ESG Risk Data

RepRisk

Inform your investment strategies with the right ESG risk data.

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