Fundraising Deck Analysis for Venture Capital | NYU Tandon School of Engineering

Project Type:
Data Science/Business Analytics
Project Sponsor:

Technology for Venture Capital


Data Analysis Project

The Data Analysis project entailed a comprehensive analysis of the private market, focusing
on global investment trends, valuation dynamics, and sector-specific activities. The
approach combined proprietary and third-party data, emphasizing the importance of
robust, real-time data analysis in venture capital. Key insights included geographic and
industry-specific investment patterns, stages of investment, and market dynamics, all
aimed at enhancing informed decision-making in the high-risk investment landscape.

Deck Analyzer Project

The Deck Analyzer project developed an AI-based tool for evaluating startup pitch decks,
utilizing advanced technologies and ChatGPT. It established criteria for deck analysis,
covering aspects like length, structure, and formatting. The tool provided detailed
feedback to optimize pitch deck quality, showcasing innovation in AI-assisted
evaluation for startups. This effort highlighted the integration of emerging technologies
in startup development processes.


Keywords: Large Language Models, Generative AI, Private Equity, Venture Funding