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Hebbia
AI built for the rigor of finance, law, and enterprise research
Claimed API Teams
Toolglade’s take
One of the most credible enterprise-grade AI research tools for finance and law, but it is a top-down, contact-sales platform with no self-serve tier, so it only makes sense for firms with real document-heavy workloads and budgets.
About Hebbia
Hebbia is an enterprise AI platform for finance, law, and large corporations, built around its Matrix product that reasons over huge volumes of documents and data to answer complex questions with cited sources. It is used by leading asset managers, investment banks, and law firms to run due diligence, research, and analytical workflows at scale. Pricing is enterprise-only and quoted on request.
Hebbia is an AI platform purpose-built for high-stakes knowledge work in finance, law, and large enterprises. Its core product, Matrix, lets teams upload or connect thousands of documents, filings, transcripts, and data feeds, then ask complex questions and run structured, multi-step analyses across all of them at once. Every answer is traceable back to the underlying source, which is critical for the regulated, evidence-driven industries Hebbia serves. Rather than a simple chatbot, Hebbia frames its platform around agentic workflows: firms encode their own processes so the system can run diligence reviews, analyze earnings calls, screen deals, and draft outputs continuously. It is sold as an enterprise product used by leading asset managers, investment banks, law firms, and Fortune 500 companies, with security certifications and a no-training-on-user-data posture.
TL;DR
Hebbia is an enterprise AI platform for finance, law, and large corporations, centered on its Matrix product that reasons over massive volumes of documents and data to answer complex questions with cited sources. It is used by leading asset managers, investment banks, and law firms for due diligence, research, and workflow automation. Pricing is enterprise-only and quoted on request, with no free plan or trial. Hebbia raised a $130M Series B in 2024 led by Andreessen Horowitz at a reported $700M valuation.
Company overview
Hebbia is a New York-based AI company founded by George Sivulka that builds AI for the rigor of finance and other high-stakes, document-heavy professions. Its platform positions itself as 'institutional intelligence,' trusted by investors, bankers, advisors, and Fortune 500 companies for decisions where accuracy and traceability matter.
The company markets metrics such as firms using Hebbia representing roughly $30 trillion in assets under management, around 200,000 prompts per day, and over 1.5 billion pages processed. It holds security credentials including SOC 2 Type II and ISO/IEC 42001, and commits to not training on user data.
Product features
Hebbia's core product is Matrix, an AI platform that lets teams upload documents or connect sources such as SEC filings, earnings transcripts, FactSet, S&P Capital IQ, PitchBook, Preqin, SharePoint, OneDrive, Box, Dropbox, Salesforce, DealCloud, Snowflake, and Databricks. Users can then run structured, multi-step analysis across thousands of documents at once, with a grid-style interface for asking many questions across many sources and getting cited, source-linked answers.
Beyond one-off queries, Hebbia emphasizes agentic workflows: firms encode their own processes so the system can continuously run tasks like diligence reviews, earnings-call analysis, deal screening, and drafting. Enterprise collaboration features let teams share context so individual analysis becomes reusable institutional knowledge, backed by enterprise-grade security and compliance controls.
Target market
Hebbia targets the world's most demanding institutions: asset managers, hedge funds, private equity, investment banks, law firms, professional-services firms, and in-house corporate finance and strategy teams at large enterprises. It is aimed at organizations with large volumes of proprietary and premium documents and a need for accurate, auditable analysis, rather than individuals, students, or small businesses.
Buyer personas
End users
Analysts, associates, and researchers at investment firms, banks, and law firms who spend hours reading filings, transcripts, contracts, and data-room documents, plus corporate finance and strategy staff doing document-heavy analysis.
Buyers
Partners, managing directors, CIOs, CTOs, and heads of research or knowledge management who own budgets and are looking to accelerate diligence and research while maintaining accuracy and compliance.
Key influencers
IT security, legal, and compliance teams evaluating data handling and certifications; power users and champions who pilot the tool; and innovation or AI-transformation leads within the firm.
Ideal customer profile
A regulated, document-intensive institution such as an asset manager, private equity firm, investment bank, or large law firm with significant proprietary content, premium data subscriptions, demanding accuracy and audit requirements, and the budget for an enterprise AI platform.
Funding & performance
Hebbia raised a $130M Series B in July 2024 led by Andreessen Horowitz, with participation from Index Ventures, Google Ventures, and Peter Thiel, at a reported valuation of around $700M. Reporting placed total funding at roughly $160M+ across its rounds. (Figures per press coverage including TechCrunch and Fortune; exact terms are not officially confirmed by Hebbia beyond the round announcement.)
Pros & cons
Pros
- Reasons over very large document and data sets at once
- Answers are cited and traceable back to source material
- Strong integrations with financial data providers and document stores
- Enterprise-grade security (SOC 2 Type II, ISO/IEC 42001) with no training on user data
- Purpose-built for finance and law rather than a generic chatbot
- Team collaboration turns individual work into shared institutional knowledge
Cons
- No public pricing and no self-serve or free tier
- Enterprise-only, so inaccessible to individuals and small teams
- Requires a sales process and onboarding before use
- Overkill for anyone without large, document-heavy workloads
- Value depends on connecting proprietary and premium data sources
Pricing plans
Enterprise
Custom
- Access to the Matrix AI platform
- Reasoning over large document and data sets
- Source-cited answers and audit trails
- Custom and automated agentic workflows
- Integrations with financial data providers and document stores
- Team collaboration and shared workspaces
- SOC 2 Type II and ISO/IEC 42001 security, no training on user data
- Dedicated support and onboarding
Key features
API
Team collaboration
Multi-language
Integrations
SEC Filings, FactSet, S&P Capital IQ, PitchBook, Preqin, SharePoint, OneDrive, Box, Dropbox, Salesforce, DealCloud, Snowflake, Databricks, Intralinks
Input types
text, documents
Output types
text
Best For
Financial due diligence, Multi-document research, Investment analysis, Legal document review
Compare key features
View all alternatives →Feature
Hebbia
Scite
Felo
Pricing
Contact for pricing
Freemium
Paid
Free plan
No
No
No
Free trial
No
Yes
No
API
Yes
Yes
No
Team support
Yes
Yes
Yes
Frequently asked questions
What is Hebbia and what is Matrix?+
Hebbia is an enterprise AI platform built for finance, law, and large companies. Its flagship product, Matrix, lets teams reason over huge volumes of documents, filings, transcripts, and data to answer complex questions and run analytical workflows, with every answer linked back to its source.
How much does Hebbia cost?+
Hebbia does not publish pricing. It is an enterprise product with custom pricing quoted on request after a demo. There is no free plan or public self-serve tier, and cost depends on the scope of usage and data connections a firm needs.
Who uses Hebbia?+
Hebbia is used by leading asset managers, investment banks, law firms, and Fortune 500 companies. Publicly referenced customers and users include firms such as Morgan Stanley, MetLife, Centerview, New Mountain Capital, and Latham & Watkins, and Hebbia says firms using it represent trillions in assets under management.
How does Hebbia compare to AlphaSense?+
AlphaSense is primarily a market-intelligence and search platform over a large library of premium content, while Hebbia is a customizable AI platform that reasons over a firm's own documents and connected data sources to run bespoke analysis and workflows. Hebbia emphasizes agentic, multi-document reasoning and building custom workflows rather than searching a fixed content set.
Is Hebbia accurate and does it cite sources?+
Hebbia is designed for regulated, high-stakes work and links its answers back to the underlying documents so users can verify every claim. Citations and source traceability are central to the product, though as with any AI tool, outputs should still be reviewed by a professional before relying on them.
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