Hebbia Raises $30 Million To Build AI-Powered Document Search
Hebbia offers an AI-powered document search platform, and has raised $30 million in a Series A funding round today.
Created on September 8|Last edited on September 8
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Google's search engine has become an easy-access information bank we're are used to using day in and day out. Most of the time, it's useful for our needs, but when the needs are much more specific or technical, it's often better to search through our own documents or from sources we trust directly. Google's great at handing you a web page built to rank well, but sometimes you need something more specific.
Hebbia has come up with an AI-based solution to search your documents, and those from sources you trust, right in its interface. And it doesn't just search for documents from a collection like a mini Google, it points you to the exact location of interest. What's better, is that it uses AI processing to interpret query intent and finds answers quickly, like a super-powered Ctrl-F for all your documents - perfect for find what you need in lengthy, wordy documents like research papers.
Who's funding Hebbia and where's the money going?
Hebbia has announced that they've raised a total of $30 million in a Series A funding round today led by Index Ventures. Additional participation comes from Radical Ventures and a number of individuals investors.
Currently sitting at 15 workers, they plan to double that by the end of the year. They will also continue to develop the platform and increase customer acquisition.
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Tags: ML News
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