Hebbia
Hebbia is the leading AI platform for finance. Founded in 2020 by George Sivulka, Hebbia is a generative AI company backed by Andreessen Horowitz, Peter Thiel, and Index Ventures. Investment banks and over 40% of the largest asset managers by AUM use Hebbia’s AI agents to drive investment decisions and automate financial analyst workflows. Users can instantly surface insights over filings, research, and millions of internal documents, enabling citation-backed research, AI-driven document, powerpoint, and spreadsheet generation, and AI driven origination, screening, and diligence. Learn more at hebbia.com.
Founded
2020
Location
New York, NY
Employees
139
Funding
$160M+
Hebbia: AI Research Agents for Finance and Legal Teams
Hebbia builds AI research agents for high‑stakes workflows across finance and law. Its flagship platform, Matrix, orchestrates multiple agents to read, reason over, and produce work from large document sets—unlocking faster diligence, filings analysis, contract review, and citation‑backed research. Hebbia positions itself as an AI platform that replaces hours of junior analyst and associate work with reliable, auditable outputs used by leading asset managers, banks, law firms, and Fortune 500s. Sources: [Homepage](https://www.hebbia.com/), [Product](https://www.hebbia.com/product), [About](https://www.hebbia.com/about)
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What Hebbia Does
Sources: [Product](https://www.hebbia.com/product), [Matrix + OpenAI o1](https://www.hebbia.com/blog/matrix-and-openai-o1-smarter-ai-agents), [Deeper Research agent](https://www.hebbia.com/blog/inside-hebbias-deeper-research-agent)
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Who It’s For
Sources: [Hebbia](https://www.hebbia.com/), [Law industry page](https://www.hebbia.com/industry/law)
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High‑Impact Use Cases
Sources: [Hebbia](https://www.hebbia.com/), [Product](https://www.hebbia.com/product)
Sources: [Law industry page](https://www.hebbia.com/industry/law), [Deeper Research agent](https://www.hebbia.com/blog/inside-hebbias-deeper-research-agent)
Sources: [Hebbia](https://www.hebbia.com/), [OpenAI partnership](https://openai.com/index/hebbia/)
---
Integrations and Data Sources
Sources: [Hebbia](https://www.hebbia.com/), [Law industry page](https://www.hebbia.com/industry/law), [OpenAI partnership](https://openai.com/index/hebbia/)
Note: Hebbia does not publish a full public connector catalog; treat specific vendor integrations as sales‑confirmed.
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Security, Compliance, and Deployment
Source: [Trust Center](https://trust.hebbia.ai/)
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Partnerships and Third‑Party Coverage
Source: [OpenAI partnership](https://openai.com/index/hebbia/)
Source: [Wikipedia](https://en.wikipedia.org/wiki/Hebbia)
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Buyer Notes: Strengths and Trade‑offs
Pros (user sentiment)
Sources: [Reddit thread 1](https://www.reddit.com/r/private_equity/comments/1n5yusc/what_is_your_experience_with_ai_tools_in_the/), [Reddit thread 2](https://www.reddit.com/r/private_equity/comments/1ek1y40/ai_tools_hebbia_dili/)
Cons (user sentiment)
Source: [Reddit thread 3](https://www.reddit.com/r/private_equity/comments/1e16mn4/is_hebbia_any_good/)
Source: [Reddit thread 1](https://www.reddit.com/r/private_equity/comments/1n5yusc/what_is_your_experience_with_ai_tools_in_the/)
Note: Public review coverage on G2/Capterra was not surfaced in this research window. Consider requesting references and case studies from sales.
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Pricing and Trial
Sources: [Hebbia](https://www.hebbia.com/), [Careers](https://careers.hebbia.ai/)
---
Why It Matters
For more, explore Hebbia’s [Product](https://www.hebbia.com/product), [Blog](https://www.hebbia.com/blog), and [Trust Center](https://trust.hebbia.ai/).
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