Due diligence · Startup diligence
AI startup due diligence that structures the work on private deals
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.
Enter a ticker · read the research card · you decide
AI research card
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Thesis, bull and bear case, key metrics, comparables and risk flags, synthesised 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.
Both sides bull and bear
Risk flags on every card
Why it works
What your team gets with startup diligence
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 synthesises 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
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
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