At 73Strings, we leverage over 25 years of expertise in private capital along with advanced real-time analytics and robust machine learning models. This powerful combination leads to a collaborative platform that enhances the speed, intelligence, and simplicity of valuation reporting. Financial data from investee companies is seamlessly uploaded through data warehouses, supplemented by information sourced from a variety of channels including market news, social media, earnings call transcripts, and more than 12 data partners like S&P Capital IQ, Gnews, Apollo, Currency Layer, Spyfu, as well as internal and alternative data sets gathered for customer analysis. The AI-driven valuation process enables users to choose from more than five valuation methods that align best with their investment strategies. Additionally, a suite of workflow tools can be utilized to compute the net asset value (NAV) by applying proportional weights to each chosen method. Users can also create tailored reports and dashboards featuring multiple widgets that automatically populate with graphic representations, tables, and insightful commentary or analysis, ultimately providing a comprehensive view of their investments. This innovative approach ensures that stakeholders have access to the most relevant and timely information for informed decision-making.