Research & analysis · AI equity research
AI equity research that produces a structured note on any company
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AI research card
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Thesis, bull and bear case, key metrics, comparables and risk flags, synthesized into one structured tear-sheet.
Thesis
Bull case
Bear case
This name is not publicly listed, so there is no market data to show. The card covers the thesis, both sides of the argument and the risk flags.
Key metrics
Comparables
Risk flags
Market data from public sources, as of . Informational only, not financial advice. Qualitative card, no public market data for this name. Informational only, not financial advice.
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Quality equity research used to live behind a sell-side desk or a five-figure subscription. For everyone else, building a real research note meant stitching together filings, transcripts and models by hand, one company at a time.
Investables.ai brings AI equity research to your own desk. Enter a company and it assembles a structured research note: the investment thesis, the bull and bear case, the metrics and comparables, and the risk flags that a good analyst would surface. It does the legwork so you can focus on judgment. It is informational research to support your own diligence, not personalized investment advice.
Both sides bull and bear
Risk flags on every card
The short answer
What is AI equity research?
AI equity research uses artificial intelligence to assemble a structured research note on a company: the investment thesis, the bull and bear case, key metrics with comparables, and the risks. It organizes what is publicly known the way an analyst would, in seconds, on any name. Investables.ai produces that note as informational research to support your own diligence; it does not issue ratings, price targets or recommendations.
Why it works
What makes AI equity research useful
A real research note
Thesis, financial summary, bull and bear case, comparables and risks are organized the way an analyst would structure a note, not dumped as raw data.
Checkable
Market figures carry their as-of date and Pro and Team link the latest 10-K, 10-Q and earnings release, so you can verify the research rather than take it on faith.
Coverage on demand
Generate research on names no analyst covers, in the time it takes to type a ticker, so your coverage is never limited to what someone else picked.
What you get
A research note without the two-week wait
Coverage arrives structured the way a sell-side note is: thesis up front, both cases stated, key figures with comparables, and the risks named rather than buried.
- Generates a structured equity research note per company
- Links the latest 10-K, 10-Q and earnings release on Pro and Team
- Frames the bull case and bear case explicitly
- Adds comparable companies and valuation context
- Surfaces risk flags and open questions
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
What AI equity research does and does not do
It assembles the analyst building blocks; the rating and the call stay human.
| Task | What Investables.ai does | What stays with the analyst |
|---|---|---|
| Summarize the business | A plain-language note on what the business does | Deciding which facts drive the thesis |
| Build the thesis | Drafts the investment thesis with both sides | Judging which side is more convincing |
| Add valuation context | Puts key metrics next to comparable companies | Making the valuation call |
| Flag risks | Surfaces valuation, leverage and disclosure risks | Weighing how much each risk matters |
| Rate the stock | Never, it issues no ratings or price targets | The buy, hold or sell view is entirely yours |
Investables.ai is informational research, not personalized investment advice, not a broker-dealer, and it never issues ratings or recommendations.
Why Investables.ai
Balanced by construction, not by policy
Published research skews positive for reasons that have nothing to do with the business. Here the bull case and the bear case are produced together every time, so there is no house view for you to correct for.
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 ai equity research
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How investors run this analysis by hand
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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