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Fundraising · AI

5 questions investors ask AI founders

Investors who back AI companies ask a familiar set of questions. Here are the five that come up most, why they ask, and what a strong answer looks like on a slide.

Write my investor story freeSee the questions
INVESTORWhat stops a larger company copying this?
PARALLELTrained on 18,000 reviewed contracts from partner firms
INVESTORHow do model costs affect margin?
PARALLELGross margin 71% after model costs, up from 52%

The five questions

Each answer is shown for our fictional AI company, Parallel, which makes aI that drafts contracts for small law firms. The numbers are illustrations. Swap in your own.

01

What stops a larger company copying this?

Why they askBig platforms can ship features fast.
A strong answer showsData, workflow depth or distribution they lack.
PARALLEL

Trained on 18,000 reviewed contracts from partner firms

Sample slide line · illustrative numbers
02

How do model costs affect margin?

Why they askInference costs can erase gross margin.
A strong answer showsGross margin after model costs and the plan to improve it.
PARALLEL

Gross margin 71% after model costs, up from 52%

Sample slide line · illustrative numbers
03

Where does your data advantage come from?

Why they askData is often the only lasting moat.
A strong answer showsThe data source and why it grows with usage.
PARALLEL

Every edit by a lawyer improves our clause library

Sample slide line · illustrative numbers
04

Do customers keep using it after the trial?

Why they askMany AI tools see a usage cliff after the demo.
A strong answer showsRetention after month three.
PARALLEL

83% of firms still active after 3 months

Sample slide line · illustrative numbers
05

How accurate is it, and how do you handle errors?

Why they askMistakes in high-stakes work are costly.
A strong answer showsAccuracy measurement and human review.
PARALLEL

96% clause accuracy · every draft reviewed in-app

Sample slide line · illustrative numbers

The four numbers they check first

Before the questions, investors scan for these. Show each one by month, with dates, so the trend is easy to read.

Metric 1Paying customers and usage growth
Metric 2Gross margin after model costs
Metric 3Time or cost saved per customer
Metric 4Retention after the first three months

The gap that costs AI founders meetings

Gap

The most common gap in AI decks is spending slides on the technology and none on the customer. Fix it before you send the deck.

Know your buyer

Your customers are businesses using AI to save time or money. Name the first group you will win, and show why they pick you today.

Prepare the appendix

  • Monthly metrics for the last 12 months
  • Unit economics by customer group
  • Your answer to each question above, with sources

Questions

What do investors look for in an AI startup?

They start with these metrics: paying customers and usage growth, gross margin after model costs, time or cost saved per customer, retention after the first three months. Then they test the five questions on this page.

What is the most common gap in AI pitch decks?

Spending slides on the technology and none on the customer.

Are the numbers on this page real?

No. They are illustrations for a fictional company, Parallel, to show what a strong answer looks like. Use your own numbers.

Can Astitva build my pitch deck?

Yes. Astitva writes your investor story from a short brief, in the order investors expect, and designs every slide in your brand. The written story is free.

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