This research paper proposes an AI Co-Founder system designed to support early-stage entrepreneurs in making informed business decisions. The system uses Retrieval-Augmented Generation (RAG), persistent company memory, semantic search, and external competitor intelligence to provide context-aware recommendations. It introduces Persistent Entrepreneurial Decision Intelligence (PEDI), an approach that combines startup information, historical context, and market evidence to help founders identify risks, opportunities, and information gaps. The paper presents the architecture and prototype implementation, discusses its limitations, and outlines future research directions for AI-driven entrepreneurial decision support.
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Gayatri Patil (2026) studied this question.
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