RecruitBot, a San Francisco, CA-based hiring platform that revolutionizes the recruiting process, secured an additional $8.2 million in seed funding to further develop its AI-powered software.
Slow Ventures led the funding round, and it saw participation from OCA, Freestyle, Parade, and Kevin Mahaffey. Since its launch, RecruitBot has raised a total of $11.2 million.
RecruitBot offers recruiters access to modern sales and marketing technologies tailored specifically for their recruiting tasks. Leveraging AI and machine learning, RecruitBot learns recruiters' preferences and ensures increasingly relevant candidates from a vast qualified database of 600 million profiles appear in search results.
The platform serves as an end-to-end sourcing solution, replacing three separate tools with a single product: a comprehensive candidate database, an outreach tool, and a recruiting CRM. These functionalities are integrated into an intuitive interface.
“From the great resignation to significant layoffs, the market has now moved towards finding the best candidates, rather than just filling roles as quickly as possible,” said Jeremy Schiff, CEO and founder of RecruitBot. “RecruitBot’s unique combination of machine learning and big data understands what your ideal candidates look like, and then maximizes response rates by sending automated drip campaigns to a candidate’s personal inbox. In today’s economic climate, sourcing and hiring top quality talent has never been more critical to give companies a competitive edge necessary to survive the harsh economic climate.”
Company: RecruitBot, Inc.
Round: Seed Round
Funding Month: July 2023
Lead Investors: Slow Ventures
Additional Investors: OCA, Freestyle, Parade, and Kevin Mahaffey
Company Website: https://recruitbot.com/
Software Category: Recruiting Agency Software
About the Company: Founded in 2017, RecruitBot is a hiring platform provider transforming the entire recruiting process with the power of machine learning and big data. RecruitBot leverages artificial intelligence (AI) and machine learning (ML) to understand hiring preferences, matching companies with the ideal candidates from a database of 600+ million, then getting them to engage by automating conversations with best-in-class email marketing tools.