Juicebox Raises $30 Million from Sequoia Capital to Scale PeopleGPT

For years, recruiters have relied on machine learning tools that search for simple keywords in resumes and LinkedIn profiles. While this approach helps narrow down the candidate pool, recruiters still have to manually review each profile to determine the best fit for the job. In comes David Paffenholz and Ishan Gupta, founders of Juicebox. Their AI-powered search engine uses large language models (LLMs) to bring precision to hiring.

Juicebox recently secured $36 million in total funding, including a $30 million Series A round led by Sequoia Capital with participation from Coatue, NFDG, Y Combinator, Lux Capital, and BOND to upgrade the startup's AI engine, PeopleGPT. It analyzes a vast array of data to find the best candidates in the shortest time possible.

The manual processes that come with hiring are time-consuming and inadequate in a data-rich world. Startups and enterprises especially face obstacles since slow hiring can slow momentum.

Understanding this, Paffenholz and Gupta harnessed LLM technology to enable recruiters to search not by keywords but by context and semantics. After graduating from Y Combinator in the summer of 2022, the founders spent significant time refining and testing PeopleGPT until its launch in late 2023.