Hebbia is building neural search technology to help knowledge workers quickly find answers across large collections of unstructured data. Founded by George Sivulka, a machine learning researcher with over a decade of experience at places like Stanford and Google Brain, Hebbia has developed AI that outperforms current approaches by 57% on challenging datasets.

The company's initial product is a search engine tailored for financial services firms like private equity, hedge funds, and consultancies. It can index a wide range of file types - PDFs, spreadsheets, transcripts and more - then surface key insights using natural language queries, saving analysts from tedious manual review. Hebbia has raised $30 million from investors like Index Ventures and already gained traction with paying customers including several of the world’s largest private equity firms, hedge funds, consultancies and government projects.

Looking ahead, Hebbia aims to become a central platform for accessing and querying the world's private data repositories across industries. For prospective employees, it offers the chance to work at the forefront of machine learning and information retrieval, attempting to fundamentally change how knowledge workers operate.