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IN THE FIELD GUIDE

kepler

kepler.ai

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Kepler is an AI platform designed for industries requiring verifiable and traceable AI outputs, starting with finance. It separates AI's language understanding from deterministic code that retrieves and computes data, ensuring every output is traceable to its source and reproducible.

THE PRODUCT, BEYOND THE PITCH

Editorially reviewed · Sources checked Sep 11, 2026

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A good fit for

  • Buy-side analysts, private equity, investment banking, equity research, hedge funds, and compliance teams requiring trustworthy AI financial analysis.

Know the limitations

  • Currently focused on US public equities with international market support planned for the future.
  • Not a replacement for existing data feeds like Bloomberg Terminal or FactSet; it complements them by adding AI-powered analysis with traceability.

What you can do

  • Financial analysis and investment banking requiring verifiable AI-generated financial data and insights.
  • Compliance teams and equity research needing AI outputs that can be defended with traceable sources.

Features

  • AI interprets natural language queries and resolves intent without retrieving data directly.
  • Deterministic code retrieves and computes data, ensuring same input yields same output every time with full traceability.
  • Structured semantic layer maps concepts to canonical data points with clear sources, preventing AI guesswork.

Integrations

  • Indexes and queries data from SEC filings, earnings call transcripts, news feeds, web search, stock market data, and investor relations materials.

Platforms & data export

Not confirmed yet.

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.

Plan costs based on your requirements
Tool / planMonthlyPer yearWhat this assumes
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A practical workflow

  1. User asks a natural language question; AI interprets and decomposes it into sub-tasks forming an execution plan.
  2. Deterministic code executes queries and computations based on the AI's plan, retrieving data from verified sources.

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

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Sources & research

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