Due diligence · Startup diligence
AI startup due diligence that structures the work on private deals
Enter a ticker · read the research card · you decide
AI research card
Stocks · ETFs · Crypto · StartupsEnter any ticker to see a research card
Thesis, bull and bear case, key metrics, comparables and risk flags, synthesized into one structured tear-sheet.
Sample output is illustrative. Not financial advice.
Thesis
Bull case
Bear case
Key metrics
illustrative
Comparables
Risk flags
Informational only · sample output, not live market data · not financial advice.
Diligence on a startup is messier than on a public company. There are no audited filings, the data is whatever the founder shares, and the real questions, market size, team, traction, defensibility, are easy to skim past in the excitement of a deal.
Investables.ai brings structure to AI startup due diligence. Feed it a pitch, a website or a data room summary and it organizes the analysis: the market and competition, the team and traction signals, the business model, and a candid list of risks and open questions. It keeps angels and venture investors honest across a busy pipeline. It is informational research to support your own diligence, not investment advice.
Both sides bull and bear
Risk flags on every card
The short answer
What does startup due diligence cover?
Six areas: the market and its real size, the team and their track record, traction evidence such as revenue quality and retention, the business model and unit economics, defensibility, and the legal and cap table position. Because there are no audited filings, the work is mostly about testing which founder claims are verifiable. Investables.ai organizes a pitch or data room summary into that structure with the open questions listed.
Last updated July 2026
Why it works
What structured startup diligence actually looks at
Structure on messy data
Market, team, traction, model and risk are organized into a consistent frame, so a chaotic pitch becomes a diligence-ready picture.
Hard questions surfaced
The open questions and risks a founder will not volunteer are listed plainly, so you walk into the conversation prepared.
Pipeline-wide rigor
Every deal runs through the same process, so the tenth pitch of the week gets the same scrutiny as the first.
What you get
A structured first pass on every name
Enter any ticker or asset and the research card synthesizes the thesis, lays out the bull and bear case, surfaces the key metrics and comparables, and flags the risks, so your own diligence starts further along.
- Structures diligence on any private company or deal
- Assesses market size, competition and timing
- Reviews team, traction and business-model signals
- Lists the key risks and open questions
- Keeps your diligence consistent across deals
Thesis
Dominant AI accelerator supplier. The debate is the durability of data-center demand versus a cyclical capex peak.
Bull
CUDA moat, near-monopoly share
Bear
Customer concentration, cycle risk
Side by side
The six diligence areas and what evidence to demand
Startup diligence fails when a strong narrative substitutes for evidence. Each area has a claim founders make and a document that tests it.
| Area | The claim to test | Evidence that settles it |
|---|---|---|
| Market | The addressable market is large | Bottom-up sizing from real customer counts and price points, not a top-down analyst chart |
| Team | This team can execute | Prior operating history, domain depth, how long the founders have worked together |
| Traction | Growth is accelerating | Cohort retention, revenue quality, share of revenue from the largest customer |
| Business model | Unit economics work at scale | Gross margin per customer, payback period, contribution margin after support costs |
| Defensibility | Competitors cannot copy this | Switching costs, data or network effects, proprietary distribution |
| Legal and cap table | The structure is clean | Option pool size, prior round terms, liquidation preferences, IP assignment |
Informational research only. Investables.ai supports your diligence process and does not value private companies, recommend investments or replace legal or accounting review.
Why Investables.ai
One research card that compresses the reading
Not a wall of raw data, not a one-sided opinion, and not a six-figure terminal. The thesis, both sides of the argument and the risks, in one structured tear-sheet you can act on. You stay in control of every decision.
Both sides, every time
The bull case and the bear case sit side by side, so you weigh the argument instead of reading a single take. Informational only, never a recommendation.
Risks on the page
Valuation, concentration and regulatory risks are flagged explicitly, so the downside is visible up front rather than buried in a footnote.
Faster diligence
A structured first pass in seconds means you spend your time on judgement, not on gathering, across stocks, ETFs, crypto and startups.
Good questions
Questions about startup diligence
Explore more
More ways investors research with Investables.ai
AI stock risk analysis
Surface the risks before they surface for you.
Learn moreDue diligence software
Run structured diligence on any asset, faster.
Learn moreAI due diligence tool
An AI that runs your diligence checklist on every name.
Learn moreAI SEC filing analysis
Read the 10-K and 10-Q without reading the 10-K.
Learn moreAI stock research for hedge funds
Cover more names with analyst-grade speed.
Learn moreAI stock research for retail investors
Institutional-quality research, made for individuals.
Learn moreResearch guides
How investors run this analysis by hand
- Fundamental Analysis vs Technical Analysis: Which Should You Use? Fundamental analysis vs technical analysis explained in plain English: what each one measures, when each works...
- How to Read an S-1 Filing: What to Check Before an IPO How to read an S-1 filing before an IPO: what the prospectus contains, the five sections that actually matter,...
- How to Value a Stock: Stock Valuation Methods How to value a stock, step by step: the stock valuation methods that matter, how each formula works, how to fi...
Start your research with one structured card
Enter any ticker or asset and read the thesis, both sides of the argument and the risk flags in seconds. Built to make your own diligence faster. You decide, every time.
Informational only, not financial advice · past performance does not guarantee future results