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Purpose-built AI for finance teams to analyze vast document sets, automate workflows, and surface critical insights for high-stakes decisions.

One platform where your team shares context, so every insight becomes institutional knowledge.

Best forEnterprise finance teams performing large-scale due diligence.
DifferentiatorReasons across private documents, public filings, and financial data providers in a single query.
ProofUsed by firms with a collective $30 trillion in AUM.
Explore Hebbia
Pricing on request
8.6 Zekai
Institutional-Grade Financial Analysis
AI for Finance & Business
Ease of Use
7.5
Accuracy
9.4
Value
8.0
Time Saving
9.5
Financial Workflow AutomationDue Diligence AISecure Data AnalysisM&A ResearchInstitutional Knowledge
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⚡ Quick answer

For finance and business analytics professionals, Hebbia is a top-tier AI platform for institutional intelligence. It is purpose-built to analyze vast, complex document sets—from private data rooms to public filings—enabling teams at firms with over $30T in AUM to accelerate due diligence, automate research, and uncover critical insights for high-stakes decisions.

CategoryFinancial Analysis AI
Best ForEnterprise finance teams performing large-scale due diligence.
Price FromPricing on request
FreeNo
DifferentiatorReasons across private documents, public filings, and financial data providers in a single query.
ProofUsed by firms with a collective $30 trillion in AUM.
Rating4.3/5
📖 About Hebbia

Hebbia is an institutional intelligence platform designed for finance professionals. It allows teams to analyze vast quantities of documents—from public filings to private data rooms—to uncover insights, automate research workflows, and make more informed, high-stakes decisions.

How It Works

Your workflow, automated

1
Connect Your Data
Aggregate all relevant documents in one place, connecting private files from S3 or Dropbox and public data from sources like S&P Capital IQ.
2
Ask Critical Questions
Use natural language to query your entire dataset, asking complex questions to find red flags, opportunities, or specific deal terms.
3
Automate & Analyze
Encode your firm's research process into automated workflows and use the Matrix view to extract and compare key data points across documents.
Ready to automate your workflow with Hebbia?
Explore Hebbia →
Real Impact

Before & After

❌ Before

Manually sifting through thousands of deal documents, filings, and transcripts for due diligence.

Weeks per deal diligence
✅ After

Instantly querying all data sources with natural language to extract key terms and synthesize insights.

Days per deal diligence
Social Proof

Trusted by professionals

Ease of Use
7.5
Accuracy
9.4
Value
8.0
Time Saving
9.5

"Hebbia has completely changed our due diligence process. The ability to pull specific clauses from hundreds of documents in seconds is a game-changer. What used to take a week now takes an afternoon."

Alex D., Investment Banking Analyst · June 2026

"The platform's greatest strength is turning our scattered research into institutional knowledge. New team members can get up to speed instantly by querying past project analyses. It's invaluable."

Samira K., Asset Manager · May 2026

"It's incredibly powerful for market research, but be prepared for a significant setup phase. Encoding our specific workflows required dedicated time, though the payoff in automation is worth it."

Ben T., Corporate Strategy Director · June 2026

"We uncovered a critical risk in a potential acquisition by cross-referencing expert call transcripts with financial filings inside Hebbia—an insight we would have almost certainly missed manually."

Maria F., Private Equity Associate · April 2026
Hebbia+ professionals are already using this tool.
See Plans & Pricing →
Connects With

Works with your existing stack

Snowflake Amazon AWS S3 FactSet Guidepoint Pitchbook Thirdbridge Box Dropbox S&P Capital IQ Sharepoint Egnyte
Setup complexity: Advanced
Hebbia is an institutional intelligence platform designed for finance professionals. It allows teams to analyze vast quantities of documents—from public filings to private data rooms—to uncover insights, automate research workflows, and make more informed, high-stakes decisions.
Who It's For

Why Finance & Business choose this tool

🎯
Built for
Best for enterprise finance teams that need to rapidly synthesize information from thousands of disparate documents to support high-stakes investment and M&A decisions.
In-Depth Overview
Hebbia is engineered specifically for the high-stakes world of finance, moving beyond generic AI to provide 'Institutional Intelligence'. Its core strength lies in its ability to reason over limitless context, processing billions of pages from disparate sources like private documents, public filings, and leading financial data providers such as FactSet, S&P Capital IQ, and Pitchbook. This allows finance professionals to uncover insights others miss. For business and financial analysts, this means the end of tedious manual review. You can encode your firm’s due diligence process into an automated workflow that Hebbia runs continuously. Its matrix view lets you extract and compare specific terms across hundreds of deal documents in minutes, not weeks. The platform is trusted by firms managing over $30 trillion in AUM, with proof of its impact highlighted by users like Oak Hill Advisors, who state Hebbia has 'not only increased the speed at which analysts can perform, but also created insights... that have influenced our investment process.' It turns individual research into shared, institutional knowledge.

Key Use Cases

💼
Instantly compare terms across all past deals.
M&A Analyst
When negotiating a new acquisition, use Hebbia to query all past deal documents to extract and compare key negotiation levers like earn-outs, indemnification, and reverse termination fees.
Reduces diligence from weeks to days
✓ Pros
Purpose-built for complex financial analysis and diligence tasks.
Reasons across billions of pages and diverse document types.
Automates repetitive research tasks and workflow execution.
Strong integrations with key financial data sources and cloud storage.
High security standards, including SOC 2 Type II and GDPR compliance.
· Cons
Pricing is not public and requires enterprise-level sales engagement.
No free tier or trial available for individual evaluation.
Encoding complex, firm-specific workflows can have a steep learning curve.
Primarily focused on large institutions, not individuals or small firms.
⚡ Editorial Verdict

Hebbia is a powerful, enterprise-grade intelligence platform that can fundamentally accelerate due diligence and market research for finance teams. Its ability to create structured, comparable data from unstructured documents is a significant advantage. The main trade-off is its enterprise focus and opaque pricing, which places it out of reach for individual analysts or smaller firms.

Questions & Answers

Frequently asked questions

Is Hebbia available worldwide? +
Yes, Hebbia is a cloud-based platform accessible globally. Its compliance with international standards like GDPR suggests it is designed for use by global institutions.
Can I use Hebbia in Europe? +
Yes, Hebbia is available for use in Europe. The company publicly states its compliance with GDPR, which is the primary data protection regulation for the European Union.
What kind of documents can Hebbia analyze? +
Hebbia can analyze a vast range of documents, including private files (like M&A deal rooms, expert call transcripts, customer contracts) and public data (such as earnings calls, SEC filings, and market research reports).
How does Hebbia ensure data security? +
Hebbia employs enterprise-grade security, including SOC 2 Type II and ISO/IEC 42001:2023 certifications. It offers end-to-end encryption, does not train its models on user data, and is compliant with GDPR and CCPA.
Can Hebbia connect to our existing data sources? +
Yes, Hebbia is designed to integrate with your data ecosystem. It connects to cloud storage like Amazon S3, Dropbox, and Sharepoint, as well as financial data providers like FactSet, S&P Capital IQ, and Pitchbook.
Is Hebbia suitable for small teams or individual analysts? +
Hebbia is primarily designed for enterprise-scale clients like large investment firms and corporations. With its 'Contact Sales' model and focus on institutional knowledge, it is likely not a fit for individuals or small teams.

Last reviewed: Reviewed June 2026 — Assessed enterprise features, financial use cases, and security posture.

Plans & Pricing

Start today

Enterprise
Pricing on request
Tailored for teams and large organisations.
Contact Sales

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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About Hebbia

Full Description

Hebbia is an institutional intelligence platform designed for finance professionals. It allows teams to analyze vast quantities of documents—from public filings to private data rooms—to uncover insights, automate research workflows, and make more informed, high-stakes decisions.

Editorial Verdict

Hebbia is a powerful, enterprise-grade intelligence platform that can fundamentally accelerate due diligence and market research for finance teams. Its ability to create structured, comparable data from unstructured documents is a significant advantage. The main trade-off is its enterprise focus and opaque pricing, which places it out of reach for individual analysts or smaller firms.

Last reviewed: Reviewed June 2026 — Assessed enterprise features, financial use cases, and security posture.
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Hebbia unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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