Hebbia
Category: Foundation Models / LLMs
Hebbia provides an AI-native platform, Matrix, that acts as a co-pilot for knowledge work. It uses a system of AI agents to automate complex workflows by extracting, structuring, and analyzing information from millions of documents, allowing users to ask complex, multi-step questions and receive verified, synthesized answers. Hebbia was founded in 2020. The company is led by George Sivulka. Based in New York, NY, USA. Team size: 51-200. Total funding raised: $161M. Latest round: Series B. Key investors include ["Andreessen Horowitz (a16z)","Index Ventures","Google Ventures (GV)","Human Capital","Peter Thiel","Jerry Yang","Eric Schmidt"].
- Founded
- 2020
- Headquarters
- New York, NY, USA
- Team size
- 51-200
- Total funding
- $161M
Value proposition
Hebbia's Matrix platform automates up to 90% of complex financial and legal work by enabling users to perform deep research and analysis across vast document sets with speed and accuracy. It turns unstructured data into actionable insights, democratizing access to information and accelerating decision-making.
Products and solutions
["Matrix Platform","AI-Assisted Due Diligence","Market and Company Research","Regulatory Analysis","Knowledge Management & Synthesis","Litigation Support"]
Unique value
Hebbia has developed a multi-agent AI platform called 'Matrix' that orchestrates specialized AI agents to break down complex tasks. It combines proprietary models with foundational LLMs (like those from OpenAI) and advanced Retrieval-Augmented Generation (RAG) to deeply understand and synthesize information from technical and domain-specific documents.
Target customer
Enterprises and professional firms in knowledge-intensive industries like financial services, law, consulting, and pharmaceuticals that handle complex document analysis and research workflows.
Industries served
["Financial Services (Asset Management, Private Equity)","Legal & Compliance","Consulting","Pharmaceuticals","Government"]
Technology advantage
Hebbia's core technology, built around AI agents in its 'Matrix' platform, can handle complex, multi-step queries over vast, unstructured datasets. It moves beyond simple search to automate entire workflows, providing a significant advantage in speed and depth of analysis for knowledge workers.
How they differentiate
Hebbia's 'Matrix' platform is designed as an AI co-pilot for complex, multi-step knowledge work, differentiating from general enterprise search tools by focusing on deep analysis and synthesis of information from highly technical, domain-specific documents. It shows its work, allowing for verification, which builds trust and sets it apart from 'black box' AI systems.
Main competitors
["Harvey AI","Glean","Kira Systems","Scale AI","Cohere"]
Key partnerships
["OpenAI (for foundational models)","Strategic collaborations with clients in the financial and legal sectors, such as Bridgewater Associates and Charlesbank."]
Notable customers
["Bain & Company","Bridgewater Associates","Charlesbank Capital Partners","L.E.K. Consulting"]
Major milestones
["Closed a $130M Series B funding round in July 2024, led by Andreessen Horowitz.","Winner of 'LegalTech Generative AI Solution of the Year' at the 2024 LegalTech Breakthrough Awards.","Successfully deployed its 'Matrix' platform across major firms in finance, law, and consulting.","Pioneered Retrieval-Augmented Generation (RAG) and was one of the first companies to productionize LLMs in 2020."]
Growth metrics
As of July 2024, the company is reportedly profitable with $13 million in revenue. It is used by 30% of the top 50 asset managers by Assets Under Management (AUM).
Market positioning
A leading AI-native productivity platform for enterprises in highly regulated and document-intensive industries, specializing in deep, domain-specific analysis and workflow automation.
Geographic focus
Primarily North America, with a strong presence in the US.
Patents and IP
The company has filed at least one patent.
About George Sivulka
George Sivulka is the Founder and CEO of Hebbia, an AI company he started in August 2020 while on leave from his PhD program at Stanford University. His work at Hebbia is focused on creating AI-powered tools to revolutionize knowledge work. Before Hebbia, he was a research scientist at the Wu Tsai Neurosciences Institute and a graduate student researcher at Stanford, with earlier experience at NASA's Goddard Institute for Space Studies. His background combines deep expertise in machine learning, applied physics, and mathematics.
Official website: https://www.hebbia.com