Hebbia: AI-Driven Search Engine for Unstructured Private Data
北京,2023 – Hebbia, an AI-driven search engine that can index, read and understand non-structured private data, has raised $1.3 billion in B round funding led by a16z. The company’s Matrix platform has shown remarkable performance, with its average performance outperforming the most advanced machine learning information retrieval technologies by 57%, while also significantly improving search speed and accuracy by tenfold.
Founded by Stanford University PhD student George Sivulka in 2020, Hebbia initially gained traction in the financial industry where analysts spend hours sifting through massive amounts of structured and unstructured data. Hebbia quickly gained paying clients including some of the world’s largest private equity firms, hedge funds, and consulting companies.
Today, Hebbia is transforming industries beyond finance, such as management consulting, legal services, and media, where knowledge workers need to analyze complex data sets on a daily basis. With Hebbia, these workers can now automate repetitive tasks, freeing up more time for strategic thinking and decision-making.
“Hebbia is tackling a multi-billion dollar problem in the industry: how to efficiently utilize large volumes of sensitive data,” said Alex Immerman, investor at a16z. “The answer lies in Hebbia’s cutting-edge technology.”
With Hebbia, users can direct AI agents to complete tasks based on their preferences, regardless of the complexity or size of the dataset. The platform provides transparency into how it arrives at answers, ensuring that all processes are thoroughly understood and auditable.
As AI models continue to evolve, Hebbia is focused on leveraging this technology to solve complex problems and help businesses achieve results. The company envisions a future where AI agents contribute more than their employees to global GDP.
Investors believe Hebbia’s founder, George Sivulka, is a rare talent who possesses both technical understanding and business acumen. This unique combination has allowed him to bridge the gap between researchers and industry leaders, paving the way for groundbreaking innovations in AI applications.
Looking ahead, Hebbia aims to expand its presence across various industries, not just finance. By harnessing the power of AI and utilizing vast amounts of privately held data, Hebbia is poised to revolutionize the way knowledge workers approach their work.