Hebbia
Hebbia is an AI platform built for financial and legal scenarios. It connects materials such as SEC filings and databases, and uses Max and Matrix to support investment research, due diligence and compliance collaboration.
Updated: 2026-10-26
What is Hebbia?
Hebbia is an AI platform built for high-standard scenarios such as finance and law, transforming an organization's knowledge and data into collaborative analytical power. It supports investment research, due diligence and compliance work through two products, Max and Matrix, enabling the entire trading team to collaborate on the same set of materials. For asset managers, investment banks, law firms and Fortune 500 companies, it entrusts the analysis of cumbersome documents and financial reports to AI while retaining human oversight, balancing speed and rigor.
Who is it for?
- Investment and Asset Management Institutions: Teams that need to quickly process a large volume of documents and databases when conducting due diligence, investment research, and portfolio analysis.
- Investment Banking and M&A Advisors: Coordinate multiple parties, unify data views in transaction projects, and improve the efficiency of sell-side and buy-side work.
- Law firms: Extract key clauses and risk points from contracts and regulatory documents to support the formulation of legal opinions.
- Large enterprises prioritizing compliance: Organizations that need to meet strict data security and audit requirements, especially entities operating across regions.
- Consulting and Strategy Teams: Leverage structured extraction to rapidly build cognitive frameworks for industries and target assets, supporting decision-making.
Key features
5Transaction Team Collaboration: Max acts as a top-tier analyst, aggregating individual AI work into team-level productivity, with all project materials shared without duplication.
Massive Data Analysis
Matrix manages nearly unlimited workloads, performing structured extraction, comparison and summarization of documents and financial data.
Extensive data connectivity
It can access SEC filings, earnings calls, business profiles of Europe and the UK, as well as data sources such as FactSet, PitchBook, and Snowflake.
Multi-format Access
Supports direct connection to storage and data warehouses such as Sharepoint, OneDrive, Box, Dropbox, and Databricks, eliminating manual data transfer.
Compliance and Security
Holds certifications including ISO/IEC 42001, SOC 2 Type 2, ISO 27001, GDPR, and CCPA, with encryption for both transmission and storage.
How to use Hebbia
- 1Start with a single-project pilot: Onboard Hebbia for one transaction or research project, verify the value of collaboration and analysis before full-scale rollout.
- 2Connect data sources well: Link commonly used filings and databases to reduce manual imports, enabling AI to directly access raw materials for greater reliability.
- 3Manage workflows with Matrix: Entrust repetitive extraction and comparison to Matrix, allowing employees to focus on judgment and review of conclusions.
- 4Prioritize permission configuration: Divide visibility scope by project, and restrict access to sensitive materials only to relevant members to prevent information leakage.
- 5Retain manual review: The AI provides drafts and citations, and key conclusions are confirmed by professionals before being used for official delivery.
Traffic & popularity
Data month Sep 2026
Hebbia receives about 185.6K visits per month and ranks #223,904 worldwide.
Monthly visits
12 monthsTraffic sources
- Search48.7%
- Direct33.7%
- Referrals9.4%
- Social4.6%
- AI assistants3.6%
Top countries
- United States35.9%
- United Kingdom8.6%
- India6.5%
- Vietnam3.8%
- France2.9%
Estimated from third-party traffic data.
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