AI Firm Hebbia Secures $130M Funding at a $700M Valuation Following $13M in Profitable Revenue

Hebbia, an innovative startup leveraging generative AI for deep document searches and answering complex queries, has garnered a $130 million Series B funding round, valuated at $700 million. The round was spearheaded by Andreessen Horowitz and saw contributions from Index Ventures, Google Ventures, and Peter Thiel.

This infusion of funds highlights the industry trend where AI startups, particularly those experiencing early, profitable revenue in the millions, are frequently valued at 50 times their annual recurring revenue (ARR).

While the latest formal funding announcement aligns with the figures TechCrunch previously reported, Hebbia pursued additional investment, securing another $30 million beyond TechCrunch’s initial report. However, Hebbia has yet to submit a revised filing for this enlarged funding round to the SEC, the last report indicating a $100 million equity raise.

Hebbia, the brainchild of George Sivulka during his PhD in electrical engineering at Stanford, boasted a $13 million ARR and was already profitable at the time it sought this latest investment round, as per an informed source.

In a conversation with TechCrunch, Sivulka, Hebbia’s founder and CEO, refrained from disclosing specific figures on revenue or profitability. Nevertheless, he highlighted that the company’s revenue soared 15-fold in the past 18 months.

The valuation of $700 million suggests investors are pricing Hebbia at approximately 54 times its ARR, a valuation ratio not uncommon during the peak pandemic era and often assigned to promising AI startups. According to The Information, similar AI enterprises, Glean and Harvey, were slightly above this multiplier.

Established in 2020, Hebbia initially set out to refine AI-powered search and summarization capabilities but has since transformed into an AI analytical powerhouse. Its flagship offering, Matrix, can process vast volumes of documents, addressing enquiries in a structured format akin to that of spreadsheets. According to Sivulka, this enables the analysis and comparison of expansive data sets, such as SEC filings, across various entities.

Currently, Hebbia’s solutions are predominantly utilized by asset managers, investment banking firms, and financial institutions. The company, however, is broadening its market to include legal practices and pharmaceutical companies, revealed Sivulka.

Sivulka notes that Hebbia’s technology is employed by 30% of all asset managers for tasks such as due diligence, asset valuation, and research. The recent capital will fund team expansion, further penetration into the financial sector, and exploration of new markets.

Among Hebbia’s clientele are notable names like investment banking firm Centerview Partners, private investment firm Charlesbank, and law office Fenwick.

Sivulka, hailed as a prodigy, boasts an impressive resume with a stint at NASA during his teenage years and completing a bachelor’s degree in math from Stanford in just 2.5 years.

He also distinguishes himself among enterprise-centric founders by not hailing from a direct business background nor partnering with a business-orientated co-founder.