About
Hebbia builds AI document analysis for finance and legal teams. Raised $130M Series B at $700M valuation from a16z, Index, GV, and Peter Thiel. Hit $13M ARR in 2024 (15x growth in 18 months). Claims 33% of top global asset managers as customers including Centerview, Charlesbank, and Oak Hill. Matrix product runs multi-step reasoning across unlimited documents. Expanding into law, pharma, and government (US Air Force).
Key Facts
- [1]Founded: Founded in 2020 in New York, United States.
- [2]Funding: Total funding: $161M. Last round: May 2024. Stage: Growth.
- [3]Valuation: Valued at $700M.
- [4]Customers: Key customers include Centerview, Charlesbank, Oak Hill, US Air Force.
- [5]Employees: Employee count: 51-200.
- [6]Revenue: Annual revenue/ARR: approximately $13M.
- [7]Website: Official website: hebbia.ai.
- [8]AI Technology: Core AI/ML technologies: LLM / NLP.
- [9]Region: Region: Americas (United States).
Founders
George Sivulka
Founder & CEO
Swetha Revanur
Co-founder
Key Customers & Partners
AI Technology
LLM / NLP
Large language models for NLP, chat, document understanding, and text generation
Classification
Market Segments
Tech Stack Layers
Details
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Frequently Asked Questions
What is Hebbia?
Hebbia builds AI document analysis for finance and legal teams. Raised $130M Series B at $700M valuation from a16z, Index, GV, and Peter Thiel. Hit $13M ARR in 2024 (15x growth in 18 months). Claims 33% of top global asset managers as customers including Centerview, Charlesbank, and Oak Hill. Matrix product runs multi-step reasoning across unlimited documents. Expanding into law, pharma, and government (US Air Force). Hebbia is classified in the Research & Data segment at the Applications layer of the financial AI stack.
Who founded Hebbia?
Hebbia was founded by George Sivulka (Founder & CEO) and Swetha Revanur (Co-founder) in 2020 in New York, United States.
How much funding has Hebbia raised?
Hebbia has raised $161M in total funding, placing the company at the Growth stage. The most recent round closed in May 2024. The company is valued at approximately $700M. Hebbia generates approximately $13M in annual revenue. Among 58 funded Research & Data companies, Hebbia ranks #14 by total capital raised. (Source: AIFI Map directory.)
What AI technology does Hebbia use?
Hebbia primarily leverages LLM / NLP technology. Large language models for NLP, chat, document understanding, and text generation. Within the Research & Data segment, 19 companies use this technology.
What market segment does Hebbia operate in?
Hebbia operates in the Research & Data market segment. AI research and data companies provide the intelligence layer of the financial ecosystem — processing vast quantities of structured and unstructured data into actionable insights for investors, analysts, and financial institutions.
Where is Hebbia headquartered?
Hebbia is headquartered in New York, United States. The company operates in the Americas region. The team consists of 51-200 employees. United States is home to 324 financial AI companies tracked by AIFI Map.
Who are Hebbia's competitors?
Companies similar to Hebbia in the Research & Data space include Unit21 ($92M raised), Kaaj ($4M raised), Lendbuzz ($310M raised), Ramp ($2.3B raised), Brex ($1.5B raised). These companies operate in related areas of financial AI: Unit21 focuses on ai-powered fraud and aml platform. Kaaj focuses on agentic ai for small-business lending automation. Lendbuzz focuses on ai auto financing for underserved populations. (Based on AIFI Map classification data.)
What products does Hebbia offer?
Hebbia builds applications-layer solutions for the financial services industry. The company's core offering: AI for financial document analysis. The platform is powered by LLM / NLP technology. Notable users include Centerview, Charlesbank, Oak Hill, US Air Force.