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artul.ai

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Artul.ai is an AI-powered platform that analyzes earnings call transcripts to identify linguistic patterns correlated with stock performance. It provides statistical insights on CEO and executive language to help users make informed investment decisions based on historical data.

THE PRODUCT, BEYOND THE PITCH

Editorially reviewed · Sources checked Sep 13, 2026

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A good fit for

  • Investors and researchers seeking data-driven insights from earnings call transcripts without requiring technical knowledge.

Know the limitations

  • Past patterns identified by the AI do not guarantee future results and the tool does not provide investment advice.

What you can do

  • Helps investors identify linguistic patterns in earnings calls that correlate with stock performance to inform investment decisions.

Features

  • Analyzes earnings call transcripts with 500 yes-or-no checks and 30 markers per call.
  • Provides rankings and scorecards updated after every call.

Integrations

  • Provides searchable access to all 500 yes-or-no checks per earnings call with filtering and quarter navigation.

Platforms & data export

  • Offers access to full transcripts of the previous quarter's last open call for free inspection.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

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A practical workflow

  1. Month-end screen selects companies in the bottom third of 12-month performance whose latest call passed quality checks.
  2. Four names are selected each month: one held twelve months, three held six months, with equal amounts and no trading in between.
  3. Each pick is scored against the S&P 500 from its month-end price over the same days, showing mean, median, and hit rate.

Based on the sources below. Editorial review does not imply hands-on product testing.

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What changed

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

  1. Updated: best for, export formats, features, integrations, limitations, walkthrough

    See recorded changes
    bestFor

    Before: ["Investors and analysts seeking data-driven insights from earnings call transcripts without requiring technical knowledge."]

    After: ["Investors and researchers seeking data-driven insights from earnings call transcripts without requiring technical knowledge."]

    exportFormats

    Before: []

    After: ["Offers access to full transcripts of the previous quarter's last open call for free inspection."]

    features

    Before: ["Analyzes earnings call transcripts with 500 yes-or-no checks and 30 lab markers per call.","Provides monthly stock picks based on a model selecting four fallen stocks each month-end, scored publicly against the S&P 500."]

    After: ["Analyzes earnings call transcripts with 500 yes-or-no checks and 30 markers per call.","Provides rankings and scorecards updated after every call."]

    integrations

    Before: []

    After: ["Provides searchable access to all 500 yes-or-no checks per earnings call with filtering and quarter navigation."]

    limitations

    Before: ["Past patterns identified by the AI do not guarantee future results and the tool is not investment advice.","Most stock picks lose to the index; the model holds all four stocks for the full term and never sells winners early, relying on a few big winners to carry the list."]

    After: ["Past patterns identified by the AI do not guarantee future results and the tool does not provide investment advice."]

    walkthrough

    Before: []

    After: ["Month-end screen selects companies in the bottom third of 12-month performance whose latest call passed quality checks.","Four names are selected each month: one held twelve months, three held six months, with equal amounts and no trading in between.","Each pick is scored against the S&P 500 from its month-end price over the same days, showing mean, median, and hit rate."]

Sources & research

How we research, calculate costs, and distinguish sponsorship