Hebbia Crosses 1 Billion Pages Processed

Markets generate more information each day than any team could ever process. Earnings calls, filings, research, contracts, regulations, and press releases add up to trillions of pages. Buried in that noise are the signals that move markets—signals you can only uncover with the right information.

But no analyst team, no matter how large, could ever read enough to find them.

That’s why scale matters.

Today Hebbia crossed 1,000,000,000 pages processed—up from a mere 47 million pages just one year ago. At the average human reading speed, that’s the equivalent of 1.5 million days of reading—compressed into seconds and surfaced as signal.

The exponential pace of AI adoption in finance shows no signs of slowing. As data volumes and analytical complexity surge, only platforms engineered for true scale—like Hebbia—are equipped to meet the demands of tomorrow’s financial markets. 

A new class of AI use cases

AI is no longer only about efficiency.  Scale, especially in the financial markets, unlocks a completely new way of working with these tools. AI that can drive upside: 

• Weak signals only emerge when you’ve seen the full corpus. Market-moving insights are often buried in footnotes, side comments, or obscure filings—patterns that only surface when you’ve read everything.
• Context requires breadth—knowing if a statement matters means comparing it to millions of others. To know if a single disclosure matters, you need to compare it against millions of similar statements across time, sectors, and geographies.
• Rarity becomes visible only at scale, the way physicists run billions of collisions to observe a single event. Hebbia’s Information Retrieval Engine (over all this scale) preserves full document integrity with precise source-linking across an unlimited amount of documents, letting you surface the single document, or single clause, that matters. 

AI at a small scale is an experiment. 

AI at billion-document scale is an edge.

Built with Leading Firms on Wall Street

Founded in 2020, Hebbia has become the platform of choice for the most discerning teams in finance—from investment banks, hedge funds, and private equity to Fortune 500 companies, consulting firms, and law firms—and is now expanding globally with customers across the UK and Europe. Building alongside these market leaders gives Hebbia an unmatched view into end-to-end workflows, allowing us to engineer the most powerful AI product in finance.

With investments in workflow automation—from creating slide decks to building financial models—Hebbia is building a product deeply embedded in the workflows of finance professionals. Earlier this year, the platform also expanded with Deeper Research, Agents, and several new financial data integrations, giving users even more power and flexibility. 

These investments make it possible for more customers to tap into Hebbia and uncover insights that were previously out of reach.

The Future of Finance 

Crossing 1 billion pages isn’t just a Hebbia milestone. It’s proof that financial institutions are using AI infrastructure at scale, and hungry for more compute. 

Today, Hebbia powers the investment and banking ecosystem with the volume and velocity required to separate signal from noise.

This is only the beginning.