Hebbia: AI for Document Search and Information Retrieval

Hebbia: AI for Document Search and Information Retrieval

Hebbia is a Large Language model (LLM) productivity tool. The AI-powered engine searched large volumes of documents to return answers to users.

This AI tool can analyse billions of documents such as PowerPoints, spreadsheets, transcripts and PDFs to provide appropriate answers to users The startup is based in New York, United States.

The AI technology aims to transform the method of searching through huge amounts of documents. 

The AI company was started by George Sivulka, Lukas Schmit and Tim Lupo in 2020. Sivulka founded the company while he was undergoing his PhD at Stanford. He then realised the need for a simpler and faster way of searching for documents after witnessing his friends scour through hundreds of documents just to find a handful of information.

Hebbia’s main goal is to decrease time spent searching for documents, thus saving time and increasing company productivity. 

Hebbia’s main clientele are investment banks and hedge funds and other sectors also utilise this AI technology, including finance, law, pharmaceuticals, and governments.

Hebbia and its recent breakthrough in funding

The AI startup has recently raised around $100 million in a Series B funding round. This round of funding was spear-headed by Andreessen Horowitz. The funding success has thus highlighted the increasing demand for AI tools to refine and simplify information retrieval operations. 

Hebbia has around 13 investors, including Andreessen Horowitz, Index Ventures, Floodgates, Abstract Ventures and more. 

The company is headquartered in New York, United States and the startup has around 200 employees. 


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Yibeni Tungoe

Yibeni Tungoe

Journalism & Mass Communication student at North Eastern Hill University.

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