Logical framework method for conducting pre and post-money valuations of equity crowdfunded companies leveraging ai

The paper develops an artificial intelligence-driven framework that provides an enhanced approach to both pre- and post-money valuations of equity crowdfunding companies. The study integrates generative AI with DCF and CAPM models and thus enables the assessment of a comparative analysis between the initial pre-money and the post-campaign valuation of equity crowdfunded business ventures. The research results in a pilot case study testing the suggested logical framework method which points toward the differences in this respect, showcasing the potential for AI in enhancing investors’ capacity to make better decisions.