Hebbia, an AI startup that assists businesses in analyzing various types of data to answer complex, multi-step questions, has secured a $130 million Series B funding round from several prominent investors.
The latest funding round was led by Andreessen Horowitz and saw participation from Index Ventures, Google Ventures, and Peter Thiel. This round, initially reported late last month, values the company at approximately $700 million, according to Bloomberg.
Key takeaways
- Hebbia raised a $130 million Series B led by Andreessen Horowitz at a valuation of approximately $700 million.
- Index Ventures, Google Ventures and Peter Thiel also participated.
- The New York company lets businesses search structured and unstructured data — regulatory filings, PDFs and similar — to answer complex, multi-step questions.
- Revenue grew 15x over the preceding 18 months while headcount increased fivefold.
- Founded in 2020, Hebbia has raised $161 million in total.
The New York-based startup enables companies to sift through both structured and unstructured data, including regulatory filings and PDFs, to address more detailed and intricate business inquiries.
Not slowing down
Over the past 18 months, Hebbia has experienced a 15x increase in revenue and has quintupled its headcount. Founded in 2020, the company has raised a total of $161 million to date.
“There have been seven major technological revolutions in human history: fire, agriculture, the wheel, repeatable manufacturing, electricity, the internet, and AI,” wrote George Sivulka, Hebbia’s founder and CEO, in a blog post. “AI is undoubtedly the most important technology of our lives. But technology doesn’t drive revolutions — products do. Hebbia is building the human layer — the product layer — to AI.”
Following a slow funding week for startups before the holiday, the market appears ready to start filling the coffers of AI startups, similar to how last month ended. In the last week of June, several AI-related startups like Etched.ai and Magic raised — or were reportedly raising — large, nine-figure rounds.
Frequently asked questions
What makes Hebbia different from ordinary search?
Conventional search returns documents matching keywords. Hebbia handles multi-step questions that require reading across many documents and combining what they say — the kind of work an analyst would otherwise do by hand.
What does CEO George Sivulka mean by 'the human layer'?
His argument is that technology alone does not create revolutions — products do. He positions Hebbia as the product layer that makes AI usable for real business work, rather than as another underlying model.
Who uses this kind of tool?
Organisations that work through large volumes of dense documents, such as regulatory filings and reports. The value comes from asking detailed questions across that material rather than from finding a single file.
