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Enterprise Layer Intelligence
Categories/Knowledge Management/Hebbia
Hebbia

Hebbia

Founded by George Sivulka in 2020

Analyze financial documents and market data across multiple sources using automated matrices

Pricing model

Demo

Rating

★ People love it

Time to value

Immediate

You can use Hebbia to review financial documents, filings, and proprietary records across deal teams. It lets you build custom matrices that extract valuation figures, debt ratios, segment earnings, and executive changes from thousands of files at once. You can search across SEC filings, earnings call transcripts, broker research, and internal cloud drives in a single workspace. The system extracts specific data points directly into structured tables and summary slides, assisting finance teams during due diligence, market research, and transaction evaluations without manual data entry.

What Hebbia does

Extract financial metrics from 10-K and 10-Q reportsBuild comparative peer valuation matricesSearch internal virtual data rooms alongside public filingsDraft transaction snapshot slides for deal pitchesAnalyze debt covenant details across loan agreementsTrack activist investor stakes and proxy filingsBuilds customizable data matrices across hundreds of company documentsExtracts financial metrics, debt figures, and valuation multiples automaticallyConnects directly with SEC filings, earnings call transcripts, and market data feedsIntegrates with internal cloud storage services like Box, SharePoint, and DropboxGenerates presentation-ready summary slides and structured data tablesEnables collaborative workspaces across deal teams for shared diligence

Pricing breakdown

Pricing model: Book a demo

Frequently asked

BoxBoxDropboxDropboxEgnyteEgnyteAWSAWSPitchbookPitchbookPreqinPreqinDealCloudDealCloudSnowflakeSnowflakeDatabricksDatabricksSalesforceSalesforce

Used by

Dark Lord

Dark Lord

@ None

In their stack

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Hebbia, AI-based Financial Data Analysis, Matrix, SEC filings, earnings transcripts, due diligence, financial modeling, private equity, investment banking, M&A analysis, FactSet integration, PitchBook integration, data extraction, financial research, corporate finance