The deal memo seems to be quite text-heavy in terms of input. The question is whether the following approach could be possible:
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Input Based on Key Metrics and URLs:
- Instead of providing large text blocks, the input could primarily consist of key metrics and relevant URLs. The AI could then analyze this data and automatically fill in the relevant sections of the memo.
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Example – Market Size:
- Instead of inserting lengthy text, the user could simply input key metrics like TAM (Total Addressable Market), SAM (Serviceable Available Market), etc., and select overarching categories (e.g., SaaS, EdTech, etc.).
- Additionally, the user could specify regional markets and target demographics. Based on this information, the AI could then search the internet for relevant forecasts and automatically populate them. The AI could also conduct initial research on potential competitors in these markets and include their key metrics.
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PPT Pitch Analysis:
- Another option would be for the AI to automatically extract information from the startup’s pitch deck (in PPT format) and verify the details with additional research.
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Investment Fit Evaluation:
- For questions like "How does this investment fit within your fund's thesis?", the AI could generate an evaluation based on the data inputted earlier.
- It might also be helpful if the GP (General Partner) could provide a benchmark startup with optimal data related to their fund thesis, so that future deals could be measured against this benchmark for consistency.
