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How NUVC's pitch deck scoring engine works: the six weighted dimensions behind a NuScore, how the model shows its reasoning, and what moves a score between fundraising rounds.
6 parts in this series
Part 1 of 6
NuScore evaluates pitch decks across 7 dimensions using the same framework real VCs use — but with AI precision and 980+ validated training examples. Here is the full methodology, what each score tier means, and why the science behind your number matters.
Part 2 of 6
Most AI scoring tools give you a number. NuScore v5.5 gives you a ranked waterfall of every signal that moved your score — trained on 1,400+ validated examples from accelerator applications, 85 famous decks, 162 VC deal memos, and production scoring.
Part 3 of 6
Your NuScore is not a grade — it is a map. It shows you where VCs will push back, what to fix first, and how likely you are to raise. Here is exactly what each number means and how to use it.
Part 4 of 6
NUVC assigns every founder a raise probability score alongside their NuScore. Here is exactly how it is calculated, what the tiers mean, and what you can do to move yours up.
Part 5 of 6
Black-box AI scoring is a trust killer. Here's how NUVC's explainability layer breaks down every score into traceable signals, confidence levels, and evidence you can verify yourself.
Part 6 of 6
We analysed 1,893 pitch deck scores against real funding outcomes. The result: patents predict funding at 100%, solo founders at 15%, and half of our green flags were wrong. Here's what we changed and why.
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