FAQ
Frequently asked questions
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
I'm pre-seed — isn't this massive overkill for my stage?
At pre-seed the data room is tiny (incorporation docs, founder IP, maybe 2-3 contracts) but the habit is what compounds. Founders who run this workflow from day one spend 4 hours total on DD at their seed round. Founders who don't spend 40-80 hours. The marginal effort at pre-seed is near zero because there's almost nothing to maintain; you're just putting things in the right folder as they happen. The payoff shows up 12-18 months later when it saves you a month on your seed raise.
What about DD for acquisition, not fundraising? The checklists are different.
80% overlap with fundraising DD — same financials, same legal/IP, same customer data. The extra 20% for acquisition: employment retention packages, customer assignment clauses in contracts, tech integration feasibility, PII handling for migration, employee option acceleration scenarios. AI COO has a separate checklist template for acquisition DD that extends the fundraising one. Most founders who sell report that the data room they built during their Series A saved them 60% of time at exit.
Can it handle international DD — FIRPTA, foreign entity structure, VAT registration, GDPR?
Yes, with the same caveat as tax prep: international adds real complexity. Tycoon handles the collection (foreign entity docs in the data room, GDPR DPA with all vendors, VAT registrations tracked per country, treaty elections documented). The strategy questions — is your UK subsidiary properly structured for the acquirer? does your Irish entity create PE issues? — need a cross-border lawyer. Tycoon makes their job easier by having the underlying data clean and findable.
Our customers have NDAs — we can't share their names. How does that work?
Customer DD has three tiers: anonymized (logos replaced with 'Fortune 500 fintech', revenue bands), pseudonymized (customer ID only, with a separate key held by founder), and named (post-term-sheet, under mutual NDA). AI CFO prepares all three versions. Early VCs get anonymized. Term-sheet-stage gets pseudonymized + references. Closing gets named under NDA. The named version is the same data with a different rendering — you decide who sees what based on where the conversation is.
What about ongoing DD updates during a 4-week closing window — things change fast.
This is where 'living data room' beats 'scramble'. During closing, AI CFO runs a weekly 'data room freshness' check: new customers added, financials rolled forward, any new contracts or hires included. VCs get notified when anything material changes, so there's no 'we forgot to tell you about the big new customer you signed Tuesday' surprise. Closes feel coordinated instead of chaotic.