<ul data-eligibleForWebStory="true"><li>A VC associate developed a tool to automate early-stage pitch deck evaluation using AI technology.</li><li>The tool can extract structured fields, assess Pitch Quality Scores using a 7-factor rubric, and identify potential red flags.</li><li>The system utilizes few-shot prompt engineering and OpenAI's GPT API for functionality.</li><li>A Streamlit UI with three views is available for user interaction.</li><li>The tool is meant to enhance, rather than replace, human intuition in the evaluation process.</li><li>Prosper, the developer, is an ex-VC associate and currently pursuing an MSc in Business Analytics at Warwick Business School.</li><li>Prosper invites collaboration opportunities and internal use of the tool.</li><li>Demo: https://pitchdeck-analyser.streamlit.app/</li><li>GitHub: https://github.com/ProsperAdrian/PitchDeck-Extractor</li><li>Prosper aims to assist early-stage investors in making smarter decisions using data, AI, and empathy.</li><li>Prosper can be connected with on LinkedIn for further engagement.</li></ul>

Scaling Early-Stage Diligence with AI

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