Investables.ai

By investor · For hedge funds

AI stock research for hedge funds that scales your analyst coverage

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Enter a ticker · read the research card · you decide

AI research card

Stocks · ETFs · Crypto · Startups
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Reading filings, metrics & comparables…

Enter 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.

Illustrative only

Thesis

Bull case

Bear case

Key metrics

illustrative

illustrative price trend, not live data

Comparables

Risk flags

Informational only · sample output, not live market data · not financial advice.

A hedge fund analyst's time is the scarcest resource in the building. Every hour spent gathering filings, building the first-pass model and writing the initial note is an hour not spent on the judgment that actually generates returns. Coverage is always capped by headcount.

Investables.ai gives a fund's analysts a head start on every name. It produces an analyst-grade research card in seconds, the thesis, bull and bear case, key metrics, comparables and risk flags, with sources, so the team starts from a structured draft instead of a blank page. Coverage widens without growing the desk. It is informational research that supports the team's diligence, not investment advice.

STOCKS ETFS CRYPTO STARTUPS

Both sides bull and bear

Risk flags on every card

The short answer

How do hedge funds use AI for stock research?

Mostly to compress the first pass. An analyst who would spend several hours gathering filings, pulling comparables and drafting an initial note starts instead from a structured card covering thesis, bull and bear case, metrics, comparables and risk flags, with sources to verify. The judgment work stays human. The effect is wider coverage per analyst rather than replacing analysts.

Last updated July 2026

Why it works

Where AI research helps a fund and where it does not

A draft, not a blank page

Analysts open every name to a structured first-pass card, so their hours go to judgment and edge rather than data gathering.

Coverage beyond headcount

The desk can research the long tail of names it never had time for, so good ideas do not die for lack of bandwidth.

Sourced and auditable

Every claim traces to filings and reported figures, so the team can verify and build on the research with confidence.

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.

  • Generates a first-pass research card on any name
  • Frames the bull and bear case with evidence
  • Surfaces metrics, comparables and valuation context
  • Flags risks and open questions for the analyst
  • Expands coverage without adding headcount
NVDA NVIDIA Corp. Illustrative

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

P/E 46.2 Rev +94% 3 risk flags

Side by side

What to automate and what an analyst must still do

An honest split. Tools that claim to replace the second column are selling something they cannot deliver.

Task Handled well by AI research Still requires the analyst
Gathering filings and financials Yes, in seconds across many names Verifying the source on anything that drives the thesis
First-pass metrics and comparables Yes, with a consistent peer frame Judging whether the peer set is genuinely comparable
Drafting bull and bear cases Yes, as a structured starting draft Deciding which side is underappreciated by the market
Risk flag identification Yes, for disclosed and quantifiable risks Weighing which risks actually matter to the position
Variant perception No Entirely the analyst; this is where the edge is
Position sizing and portfolio fit No Entirely the fund; the tool has no view on your book
Channel checks and primary research No Entirely the analyst

Informational research only. Investables.ai is not an investment advisor or broker-dealer and does not make recommendations or set price targets.

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 for hedge funds

No. It gives them a head start. Investables.ai produces a structured first-pass card so analysts skip the data gathering and spend their time on judgment and edge. The research is informational and the conclusions stay with the team.
Every point cites its source, so analysts can verify and build on it. It is informational research to support the desk's diligence, not personalized investment advice or a trading signal.

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.

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Informational only, not financial advice · past performance does not guarantee future results