Guide · Fundraising
AI startup data room checklist for seed and Series A
An investor data room should make diligence faster because the company has already reconciled the story. For an AI startup, the usual corporate and financial materials are only the beginning; investors may also want to understand how model costs, usage, pricing, and technical architecture affect margin.
By Serge Mochtchenkov, CFA · Fractional CFO for AI startups
1. Corporate and capitalization
Include formation documents, bylaws/operating documents, board and shareholder approvals, cap table, option plan, material equity grants, SAFE/note documents, prior financing agreements, and any side letters that affect capitalization or investor rights.
2. Historical financials
Provide current monthly P&L, balance sheet, and cash flow or equivalent management statements; general-ledger support when requested; bank/cash reconciliation; budget versus actual; AR/AP where material; debt schedules; tax filings or tax status materials as appropriate.
3. Forecast and investor model
The forecast should tie to historical actuals and use the same metric definitions as the deck. Include assumptions, revenue drivers, hiring plan, operating expenses, compute/infrastructure, cash, financing, and scenarios. Make it easy to trace how the requested round translates into runway and milestones.
4. Revenue and customer support
Prepare customer/revenue schedules, contracts for material customers, pipeline support where relevant, retention/cohort analysis, pricing structure, and concentration analysis. Define ARR/MRR, bookings, usage revenue, and NRR consistently.
5. AI economics
Be ready to show how inference or model cost is calculated, which providers/models are material, how margin differs by product or segment, how free usage affects cost, whether provider concentration creates risk, and what technical initiatives are expected to change unit cost.
6. Data and model governance
If product economics rely on internal usage data, make sure the source is traceable and the definitions are documented. Investors do not need every raw event, but they do need confidence that metrics are reproducible.
7. The reconciliation pass
Before sharing the room, compare every headline metric in the deck, website claims, model, board materials, and data room. Resolve differences or document why the definitions differ. Diligence becomes much easier when management catches the inconsistency first.
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