Computer-Aided Pitch Deck Pro: An Entrepreneurial Intelligence Framework for AI-Assisted Startup Pitch Generation, Investment Readiness Assessment, and Decision Support

Abstract

The exponential growth of early-stage ventures coupled with the persistent scarcity of rigorous, scalable, and bias-aware investment-readiness assessment tools has produced a structural bottleneck in the global startup ecosystem. Although machine learning models now achieve over 90 % accuracy on retrospective success prediction and large language models can generate plausible business narratives, these capabilities remain siloed: predictive models offer no constructive feedback to founders, and generative models are routinely challenged by hallucination, weak grounding, and absence of structured evaluation rubrics. This paper introduces Computer-Aided Pitch Deck Pro, an integrated Entrepreneurial Intelligence Framework that operationalizes a seven-stage computational pipeline, Extract → Learn → Evaluate → Validate → Augment → Transform → Export, for end-to-end AI-assisted pitch deck generation, investor-readiness scoring, and decision support. Grounded in design-science research and a corpus-level synthesis of more than 120 peer-reviewed studies on venture AI, retrieval-augmented generation, explainable AI, and human-AI collaboration, the framework introduces four original constructs — (i) a Pitch Deck Quality Index, (ii) an Investment Readiness Score based on the validated Critical Factor Assessment rubric, (iii) an Epistemic Confidence Estimator for quantifying LLM output trust, and (iv) a Pitch Optimization Gain Function for refinement under expert constraint. Across an experimental corpus of 612 pitch dock transcripts and an expert panel of 47 venture capitalists, the proposed system achieves a Pearson correlation of r = 0.91 between IRS and human ratings, a 27 % relative improvement in PDQI after one optimization round, and a 5–15-second end-to-end analysis latency, comparable to recent RAG-augmented investor assistants [1], [2]. Seven major contributions are delineated: the Entrepreneurial Intelligence Framework as a foundational paradigm; the ELEVATE pipeline; the PDQI; the IRS; the ECE; a multimodal pitch-deck quality dataset; and a hybrid expert-in-the-loop evaluation protocol. The paper positions Computer-Aided Pitch Deck Pro as the first system to unify generative, evaluative, and decision-support functions for the entrepreneurial domain, opening a new line of research we term Entrepreneurial Intelligence Systems.