What is Hebbia?
AI analyst platform for finance, legal, and professional-services research.
- Category
- AI research and document analysis
- Headquarters
- New York, NY
- Founded
- 2020
- Employees
- ~100-200
- Total funding
- >$160M disclosed
- Valuation
- ~$700M (2024 Series B)
What is Hebbia?
AI analyst platform for finance, legal, and professional-services research.
Hebbia is a ai research and document analysis company headquartered in New York, NY. Matrix AI analyst, document ingestion, spreadsheet-like extraction, citations, financial and legal workflows, benchmark/evaluation tooling, and artifact generation after the FlashDocs acquisition. TechCrunch reported Hebbia had about $13M of profitable revenue around its 2024 Series B. Its Matrix product is used by asset managers, investment banks, private equity firms, law firms, and other knowledge-heavy teams to analyze filings, contracts, transcripts, and diligence rooms.
As of June 2026, the company is best understood by its wedge: Matrix, Document Q&A, Financial AI Benchmark. Its market position is shaped by fast AI adoption, high compute needs, and enterprise buyers that increasingly want measurable productivity rather than generic AI demos. Sellers should treat the published numbers as directional when the company has not disclosed audited revenue, and should anchor outreach in the specific product line or buyer team that maps to the use case.
What does Hebbia offer?
Hebbia offers Matrix, Document Q&A, Financial AI Benchmark, Diligence workflows and related enterprise capabilities.
- Matrix· AI analyst
- Document Q&A· Research
- Financial AI Benchmark· Evaluation
- Diligence workflows· Finance
- Legal workflows· Legal
- Artifact generation· Presentations
How does Hebbia make money?
Hebbia makes money through software, usage, and enterprise contracts.
Hebbia does not publish self-serve pricing. It sells enterprise contracts for Matrix based on users, data volume, workflow complexity, security requirements, and industry-specific deployment needs. Growth is driven by adoption of the core workflow, expansion to teams and enterprises, and usage intensity as AI features move from pilots into production.
The practical unit economics depend on compute, support, and integration depth. Self-serve products monetize through monthly subscriptions and usage; enterprise products monetize through annual contracts, security controls, data integrations, and support. For sellers, the budget owner usually sits where the tool changes labor cost: engineering, legal, support, creative operations, or knowledge-work productivity.
Who leads Hebbia?
Hebbia is led by George Sivulka (Founder and CEO) and Jake Skinner (Research / evaluation leader).
- George SivulkaFounder and CEOsince 2020Stanford PhD dropout who founded Hebbia to reinvent document search.
- Jake SkinnerResearch / evaluation leaderpublicly associatedCo-author of Hebbia evaluation research.
- Davis LiResearch / evaluation leaderpublicly associatedCo-author of Hebbia financial AI benchmark work.
How do you contact Hebbia's leadership?
Hebbia does not publish verified personal leadership emails broadly. The contacts below use the format first@hebbia.com (format-following; verify before outreach); verify any personal address before outreach and prefer official contact forms or published aliases for press and partnerships.
first@hebbia.com (format-following; verify before outreach)How much funding has Hebbia raised?
Hebbia has raised >$160M disclosed; the latest reported valuation/status is ~$700M (2024 Series B).
Major disclosed funding events: 2020: Early round - amount undisclosed. Peter Thiel and Floodgate backed the company early. Sep 2022: Series A - $30M. Index Ventures led the round. Jul 2024: Series B - $130M at ~$700M valuation. Andreessen Horowitz led with Index, GV, Peter Thiel, and others participating.
The valuation path matters because it signals both buying power and operating pressure. Companies with recent large rounds usually have budget for hiring, infrastructure, security, GTM, and finance systems, but they also professionalize procurement quickly. Where the latest valuation or amount is undisclosed, the profile names the round as reported rather than back-solving a number.
How did Hebbia get here?
Hebbia's path runs from founding in 2020 to its current ai research and document analysis position in June 2026.
- Aug 2020Company foundedGeorge Sivulka founded Hebbia in New York.
- 2022Matrix launchedHebbia moved from search into structured AI analysis over documents.
- Sep 2022Series AIndex Ventures led $30M.
- Jul 2024Series BA16z led $130M at about $700M.
- 2025OpenAI models integratedPublic reporting noted OpenAI model integration into Matrix.
- 2025FlashDocs acquiredHebbia expanded into AI-generated client artifacts and presentations.
Who are Hebbia's competitors?
Hebbia competes with AlphaSense, Rogo, Harvey, Glean and other AI-native workflow vendors.
Hebbia — frequently asked questions
