Guides to venture due diligence
Answers to the questions funds ask when they choose and run diligence: choosing software (with a due diligence checklist), verifying a startup’s claims and which tools do it, screening inbound decks against a mandate, finding contradictions, the IC memo, logging why you rejected a deal, tracking companies after the decision, and whether Aventro is just a ChatGPT wrapper. Each guide gives the answer first, then the steps.
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By Dor Tagger, co-founder & CTO
Guides
Each one answers the question in its title first, then gives the steps.
- How to choose due diligence software for a venture fundA buyer’s guide for venture funds: the kinds of tool in a fund’s stack, seven questions to ask a due diligence vendor, and a due diligence checklist of what to verify and where.
- How to verify a startup’s claims before investingSeven steps to verify what a startup claims before investing: list the claims, go to the register that holds each, confirm the match, rank the sources, compare figures, ask, and label what stays unconfirmed.
- How to screen hundreds of pitch decks against your fund’s mandateSeven steps to screen a high volume of pitch decks against a fund’s mandate: criteria, one pipeline, fit and strength apart, exclusions as gates, ranking, versions, and inviting the companies worth it.
- AI investment committee memo tool: what it should doWhat an AI investment committee memo tool should do for a venture fund (your template, filled from the record, gaps shown, numbers computed, judgment left to people) and how Aventro does each.
- Tracking portfolio companies after the investment decisionSix steps to track companies after the investment decision: freeze the picture, compare against it daily, re-check registers, hear only what matters, track assumptions, and keep conditions for the deals you rejected.
- Which tool verifies startup and founder claims?The tools that check what a startup and its founders claim (Aventro, DiligenceGPT, Startup Due Dil, VentureScope), what each checks a claim against, and five tests to run on any of them.
- How does AI pitch deck screening work for inbound decks?How AI screening of a fund’s inbound pitch decks works in Aventro: one inbound address, screening on arrival against the Fund DNA, fit and strength apart, exclusions as gates, and batches of up to forty.
- What tool logs why we rejected a deal?Logging why a fund rejected a deal: what a decision record should keep (the reasons, what it was made on, the condition for looking again) and how Aventro’s Memory does it.
- Can AI find contradictions between a pitch deck and the data room?How AI finds contradictions between a pitch deck, the data room and calls: every document read on arrival, each disagreement shown side by side, outside records compared too, and the question sent to the company.
- Is Aventro just a ChatGPT wrapper?What in Aventro is code and what is a model: register checks, compiler-enforced entity matching, contradiction detectors, the returns engine, the scoring rubric, versioned Fund DNA and per-deal security, beside the four jobs the model does.
Comparisons
Aventro beside the tools funds also look at, with every fact cited.