Hebbia
Hebbia builds Matrix, a proprietary multi-agent AI platform that ingests documents and financial data to automate institutional research, diligence, and workflows for asset managers, investment banks, and law firms. It monetizes via per-seat enterprise SaaS contracts, serving clients representing roughly $25T–$30T in AUM.
- Company typePrivate
- Founded2020
- HeadquartersNew York, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Hebbia does
Hebbia is an AI-native software company founded in 2020 by George Sivulka that builds Matrix, a multi-agent AI platform purpose-built for institutional finance, legal, and Fortune 500 corporate workflows. The platform is built on a proprietary Iterative Source Decomposition (ISD) architecture that decomposes complex queries into structured sub-tasks and cycles between all-text LLMs and vision models over an effectively infinite context window, outperforming standard RAG on financial and legal workloads. Matrix exposes glass-box transparency through inline citations at every step and is natively multi-modal, handling PDFs, tables, charts, and images in a single workflow.
Hebbia's product surface extends beyond Matrix to include Hebbia Projects (a persistent collaborative workspace with always-on background agents), Hebbia Skills (structured instruction sets encoding firm-specific methodologies), Hebbia Chat, Deep Research, Spreadsheets and Slides generators, an Email Agent (Intern), a public API, and an MCP integration for Claude and ChatGPT. The platform was processing 1.5B+ pages per month as of late 2025, serves clients representing $25T–$30T in AUM, and is integrated with FactSet, PitchBook, Preqin, Third Bridge, S&P Capital IQ, BlackRock Aladdin, ICE, Intralinks, Snowflake, Databricks, and Salesforce.
The company monetizes via an enterprise SaaS model with per-seat Core User Licenses sold on multi-year contracts (estimated at $3K–$10K+ per seat annually), distributed through a direct enterprise sales motion supported by Forward Deployed Engineers and AI Strategists. As of the Series B in July 2024, Hebbia reported $13M of profitable ARR with 15x revenue growth over 18 months; subsequent disclosures cite 100%+ YoY growth and 373% YoY EMEA growth from FY25 to FY26. The company has raised $160M+ from a16z, Index Ventures, GV, Peter Thiel, Eric Schmidt, Jerry Yang, and Ram Shriram, and is headquartered in New York with offices in San Francisco, London, and the UAE.
Hebbia firmographics
Firmographics- Name
- Hebbia
- Legal name
- Hebbia Inc.
- Website
- https://hebbia.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Hebbia builds Matrix, a proprietary multi-agent AI platform that ingests documents and financial data to automate institutional research, diligence, and workflows for asset managers, investment banks, and law firms. It monetizes via per-seat enterprise SaaS contracts, serving clients representing roughly $25T–$30T in AUM.
- Ownership category
- akta.pro rank
Hebbia industry classification
Industry- Product category
- Enterprise Document Intelligence / AI Workflow Platform
- NAICS
- Software Publishers (513210), Software Publishers (5132), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
- akta.pro secondary industries
- Model Deployment, Serving & Inference Platforms (HDAAABAF), Model Hosting, Serving & Inference Platforms (HDAAACAB), Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE)
Keywords
Where Hebbia is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices4 records
Markets served
Hebbia business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Core User License Subscription: Enterprise SaaS revenue under a per-seat Core User License model assigned to named individual users, sold on multi-year contracts and bundled with API/integration access for institutional customers.
- EMEA Region Expansion Revenue: Reported 373% YoY EMEA revenue growth from FY25 to FY26, driving tripled regional team and doubled account executive workforce; signals strong enterprise land-and-expand motion across geographies.
- Acquisition-Driven Product Expansion (FlashDocs): Acquired FlashDocs in June 2025 to extend platform into content/slide generation; FlashDocs was generating 10,000+ AI slides/day, creating upsell into existing Hebbia enterprise accounts.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Per seat | Multi-year contract | Matrix — quote-based enterprise Core User License |
| Per seat | Annual | Indicative per-seat pricing of $3K–$10K+ annually |
Go-to-market motion3 records
Distribution channels6 records
Marketing channels10 records
Hebbia product offering
Product offeringCore offering
Hebbia builds and sells the Matrix AI platform, a multi-agent system using a proprietary Iterative Source Decomposition (ISD) architecture that reasons over any amount and modality of financial and legal documents with an infinite effective context window. The platform exposes citation-backed, auditable outputs and is sold as an enterprise subscription (per-seat Core User License) to institutional investors, investment banks, law firms, and Fortune 500 corporate finance teams for diligence, research, and document-intensive workflows.
Product overview
Hebbia offers a single unified AI platform (Matrix) with a layered architecture of modules and add-ons, designed for institutional finance, legal, and Fortune 500 use cases. Matrix, the flagship product, is the AI interface that reasons over any amount and modality of data using Hebbia's proprietary Iterative Source Decomposition (ISD) architecture, outperforming standard retrieval-augmented generation (RAG). Hebbia Projects layers persistent, permissioned collaborative workspaces on top of Matrix for team-based financial workflows; Hebbia Skills encode domain expertise into reusable instruction sets (Hebbia, Organizational, and Personal Skills); and a Global Agent Library provides hundreds of pre-built finance/legal automations. Supporting modules include Chat, Deep Research, Spreadsheets (Excel generation), Slides (PowerPoint generation), the always-on Email Agent (Intern), and the Hebbia API plus Hebbia MCP for external integration. FlashDocs, acquired in June 2025, extends the platform into automated slide deck generation.
Differentiator
Problem solved
Functional benefit
Brands
- Matrix: Hebbia's flagship AI-powered spreadsheet-style interface/platform for institutional intelligence, multi-agent workflows, and document analysis.
- Hebbia Skills
- FlashDocs
- Hebbia Projects
Products and services
- Matrix
- Hebbia Projects
- Hebbia Skills
- FlashDocs
- Hebbia API
- Hebbia MCP
- Hebbia Deep Research
Quantifiable outcome
- 92% accuracy on complex financial/legal tasks vs. 68% with standard RAG
- +5 more outcomes
Companies that use Hebbia
Customer profileNamed customers24 records
Segments5 records
Ideal customer profiles5 records
Hebbia technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration18 records
AI capability10 records
Feature8 records
Hebbia partnerships and signals
Strategic signalPartnerships
21 partnerships are on record, tiered core, flagship and minor.
- SalesforcecoreHebbia connects to Salesforce via opt-in integration (Merge API) bringing CRM data — pipeline, account coverage, client activity — into the same context as financial and market research.
- DatabrickscoreNatural-language querying of Databricks lakehouse from Chat or Matrix; each user authenticates with their own Databricks credentials so they only see data they already have access to.
- PitchBookflagshipHebbia's Premium Connector surfaces PitchBook's private capital market data alongside internal documents, CRM notes, and prior deal history; 30+ pre-built Skills leverage the data for PE, IB, credit, and hedge fund workflows.
- Intercontinental Exchange (ICE)coreIntegration bringing ICE's institutional-grade pricing data (equities, ETFs) into Matrix; supports near-real-time price, volume, volatility, and trend queries.
- SS&C Intralinks (DealCentre AI)coreIntegration connecting live deal data from SS&C Intralinks DealCentre AI directly into Hebbia's AI workspace, giving deal teams a continuous workflow from data room to analysis.
- BasetencoreDedicated deployment of open-source LLM infrastructure optimized for latency-sensitive financial workloads; delivered 2.5x tokens/sec improvement, 4x faster TTFT, and over 10x inference cost reduction.
- Seyfarth Shaw LLPflagshipStrategic legal-sector partnership expanding deployment of Hebbia's Matrix across Seyfarth's transactional practices; firm has processed 7M+ pages of legal documents and is leading the next phase of deal execution and diligence automation.
- PreqinflagshipIntegrated Preqin's private markets data into Matrix via natural language; covers PE, private credit, venture capital, infrastructure, and real estate for LP/GP diligence, screening, and portfolio monitoring.
- Fitch SolutionscorePartnership integrating Fitch's credit market intelligence, research, ratings (LevFin Insights, Fitch Credit Research and Ratings, CreditSights Research) into Hebbia for due diligence, covenant reviews, and investment monitoring.
- AnthropicflagshipHebbia uses Anthropic Claude models (including Opus 4.7/4.8 and the Mythos-class via Anthropic's API) inside Matrix; co-listed as a PitchBook LLM integration partner alongside Rogo and Perplexity.
- BlackRock AladdincoreCollaboration integrating Preqin private markets data into Hebbia for BlackRock Aladdin users, connecting Aladdin's institutional asset management platform with Hebbia's AI workflows.
- FactSetflagshipStrategic partnership integrating FactSet's financial data and analytics into Matrix; FactSet data powers the 'Company Screening' Skill and deep equity/credit research workflows.
- Microsoft Azure (AI Foundry)flagshipIntegrated GPT-5 through Microsoft Azure AI Foundry to power AI-driven solutions for investment banking, PE, asset management, and credit teams; leverages Azure's secure infrastructure for enterprise customers.
- Third BridgeflagshipStrategic partnership embedding Third Bridge's expert interview library directly into Hebbia's Matrix; enables investors to run parallel queries across thousands of transcripts with line-item citations and spreadsheet exports.
- OpenAIflagshipMatrix is powered by OpenAI's o3-mini, o1, GPT-4o, and GPT-5 family models via OpenAI's API; OpenAI published a customer case study on Hebbia. Hebbia contributes over 2% of OpenAI's daily volume.
- SnowflakecoreSnowflake integration enables Hebbia customers to query private documents and data warehouses directly inside Matrix as part of the unified data connector stack.
- Amazon Web Services (AWS)flagshipHebbia runs on AWS infrastructure across US-EAST-1, US-WEST-1, EU-WEST-1, and EU-CENTRAL-1 regions; AWS KMS manages AES-256 encryption-at-rest keys.
- Google LLCcoreHebbia uses Google for LLM capabilities and Google Workspace Enterprise for email and document management; listed as Authorized Sub-Processor.
- Orrick, Herrington & Sutcliffe LLPcoreCustomer story: Orrick's Managing Director Daryl Shetterly publicly cited Hebbia for reshaping corporate due diligence and other legal work.
- Troutman Pepper LockecoreCustomer story: 'Troutman Pepper Locke Sets a New Standard for Client Velocity with Hebbia' — reference deployment for legal innovation.
- Presight (G42)minorPart of the Presight AI Innovation Ecosystem and Presight AI Accelerator Program; includes R&D lab and commercialization pathway leveraging Presight's enterprise footprint.
Scale indicators15 records
Recent moves9 records
Expansion highlights7 records
Hebbia competitors and assessment
Company assessmentBroad incumbents
- Bloomberg Terminal (with BloombergGPT): Bloomberg Terminal is the dominant incumbent financial data and analytics platform used by nearly every institutional investor and investment bank. Its integration of BloombergGPT and AI-powered search into the Terminal poses the broadest competitive threat to Hebbia's data-and-research workflows.
- BlackRock Aladdin: BlackRock Aladdin is the dominant institutional investment management platform used across asset managers and insurance companies. It already partners with Hebbia (via Preqin integration), but Aladdin's own AI/data capabilities and BlackRock's ownership could create a competing workflow layer for institutional investor customers.
- S&P Capital IQ Pro: S&P Capital IQ Pro is a leading financial data and workflow platform serving the same institutional investor, banker, and corporate strategy buyers as Hebbia. Its embedded AI features and existing FactSet/PitchBook/Preqin-class data moats position it as a broad incumbent competing with Hebbia's research and screening use cases.
Direct peers
- Tegus (AlphaSense): Tegus operates an expert interview library that is now part of AlphaSense and directly competes with Hebbia's Third Bridge integration for expert call synthesis and primary research workflows used by PE and hedge fund investors.
- Rogo: Rogo is an AI platform purpose-built for investment banking and private equity workflows, including CIM creation, comps, and pitch decks. It is the most directly comparable competitor to Hebbia's investment banking use cases and was named alongside Hebbia by Citi's investment banking division.
- AlphaSense: AlphaSense is an enterprise market intelligence platform for financial services, research, and consulting teams, with the Tegus expert interview library integrated. Competes with Hebbia for institutional investor and corporate strategy workflows around document analysis, expert insights, and earnings research.
- Harvey: Harvey is a generative AI platform built for elite law firms and in-house legal teams, serving many of the same Am Law firms (Cleary Gottlieb, Latham & Watkins, Ropes & Gray) that also use Hebbia. Directly competes with Hebbia's Professional Services vertical; hired away Hebbia's legal vertical lead Ryan Samii in December 2025.
Emerging players
- Glean: Glean is an enterprise AI search and assistant platform that indexes a company's internal documents and apps. While less vertically specialized for finance/legal, Glean competes with Hebbia's Projects and Chat experiences for enterprise knowledge worker workflows and Fortune 500 buyers.
- Luminance: Luminance is an AI-powered contract analysis and legal document review platform used by law firms and enterprises. Directly competes with Hebbia's Professional Services vertical for contract review and due diligence automation.
- Elicit: Elicit is an AI research assistant that automates literature review and document analysis, with growing traction in finance and consulting workflows. Adjacent to Hebbia's research and diligence use cases but less vertically specialized.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat7 records
Key risks6 records
Key highlights7 records
Customer concentration
Hebbia social profiles
Digital presenceHebbia compliance and trust
Trust signalCompliance4 records
Hebbia financial estimates
Financial estimateRevenue estimate
Valuation estimate
Hebbia leadership team
Management profileNumber of profiles
Profiles10 records
Hebbia subsidiaries and ownership
Company hierarchySubsidiaries1 record
Hebbia funding detail
Funding detailFunding overview
Funding rounds3 records
Investors9 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Hebbia M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Hebbia
What does Hebbia do?
Hebbia builds and sells the Matrix AI platform, a multi-agent system using a proprietary Iterative Source Decomposition (ISD) architecture that reasons over any amount and modality of financial and legal documents with an infinite effective context window. The platform exposes citation-backed, auditable outputs and is sold as an enterprise subscription (per-seat Core User License) to institutional investors, investment banks, law firms, and Fortune 500 corporate finance teams for diligence, research, and document-intensive workflows.
Is Hebbia a public or private company?
Hebbia is a private company. It is classified as venture growth investor backed and is currently operating.
When was Hebbia founded?
Hebbia was founded in 2020. It employs 101 to 250 people.
Where is Hebbia based?
Hebbia is headquartered in New York, United States, in the North America region.
How does Hebbia make money?
Three revenue lines are on record. Core User License Subscription is the primary driver. The others are EMEA Region Expansion Revenue and acquisition-Driven Product Expansion (FlashDocs).
Who are Hebbia's main competitors?
Broad incumbents on record are Bloomberg Terminal (with BloombergGPT), BlackRock Aladdin and S&P Capital IQ Pro. Direct peers are Tegus (AlphaSense), Rogo, AlphaSense and Harvey. Emerging players are Glean, Luminance and Elicit.
Does Hebbia have an API?
Yes. Hebbia API: Connect Hebbia directly to any internal system to power real-time insights and automate critical workflows with intelligence from Hebbia. Hebbia MCP: Ask natural-language questions over your Hebbia projects and data sources in Claude and ChatGPT, getting answers with inline citations without leaving the host environment.
What industry is Hebbia in?
Hebbia's product category is Enterprise Document Intelligence / AI Workflow Platform. Its primary akta.pro industry code is HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs), with a secondary code of HDAAABAF, Model Deployment, Serving & Inference Platforms. Its NAICS code is 513210 and its SIC code is 7370.