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Vela Partners · Library

The Vela Library

Plain answers to the questions people ask about AI and venture capital: how investors use AI, whether startup success can be predicted, which tools are worth using, and what the numbers really say. Each subject has its own page, built from Vela's research and its own portfolio.

A gothic stone library on a mesa at dawn, its door open on lamplit shelves, above a misty valley

Where to start

Start with the question you have

The catalogue

Every subject in the library

  1. AI in venture capital

    How VCs use AI, and which firms do

    Inside How VCs use AI across the deal cycleWhich VC firms use AIWhat a quant VC isQuant VC vs traditional VCHow Vela investsDoes it work?Will AI replace VCs?For LPs: is a VC's AI process real?

    Updated

    Read
  2. Predicting startup success

    Can startup success be predicted? What the research shows

    Inside Why it's hard to predictWhat the research showsWhich founder traits predict successBenchmarks and datasetsModels you can readThe limits

    Updated

    Read
  3. AI tools for investors

    AI tools for venture capital investors

    Inside AI tools by jobAI due-diligence agentsWhich LLM is best for VC tasksMCP servers for venture researchTools for LPsOpen source: Think-Reason-LearnHow we judge tools

    Updated

    Read
  4. AI tools for founders

    Free AI tools for founders, from idea to raise

    Inside Free AI tools by stageWhat each tool doesHow to know if you're ready to raiseHow long a seed round takes

    Updated

    Read
  5. Venture capital by the numbers

    Venture capital by the numbers

    Inside What share of startups become unicornsDo top VCs pick better?How many investments a fund should makeThe power law and correlationMethod, updates and citing

    Updated

    Read

About the library

How it’s kept

  1. Every figure has a source

    Each number links to the paper, post or dataset it comes from, so you can check it instead of taking it on trust.

  2. Every page is dated

    Each page says when it last changed. When new research lands or a new tool launches, the page that covers it is updated.

  3. It grows with the work

    The subjects come from Vela's research with the University of Oxford and from investing only in AI since 2017. New subjects join as the work does.

Behind every page are the papers it draws on. Browse the research