ESG Investing Assistant

What it does

ESG investing is an investment strategy that considers three key factors beyond financial data:
— Environment: Evaluates impacts on carbon emissions, resource use, waste, and biodiversity.
— Social: Assesses labor practices, human rights, and workplace diversity.
— Governance: Considers leadership, executive pay, audits, controls, shareholder rights, board diversity, ethics, transparency, and accountability.
ESG analysts are responsible for collecting and analyzing ESG data; however, they face several challenges:
— Lack of Standardization: Inconsistent frameworks and regulations.
— Lack of Transparency: Data providers often use estimation models and opaque methods.
— Cost and Resource Intensity: Collecting and verifying ESG data is resource-intensive.
Our solution addresses these challenges by:
— Relying solely on company-reported data and annual reports.
— Automating data extraction and visualization using Gemini AI models.
— Ensuring transparency by citing sources (e.g., page numbers) for each data point.
— Streamlining data verification and validation.
Benefits:
— Enhances efficiency and accuracy, reducing time and resources for ESG data collection and verification.
— Promotes better decision-making with clear, verifiable ESG data supporting informed investment choices.
— Supports sustainability by directing capital to responsible companies, addressing climate issues, and encouraging sustainable practices.