Hubert, an AI hiring platform remodeling high-volume recruitment, introduced a €2.5 million Seed spherical to speed up Hubert’s product innovation as the corporate targets over 400% income development in 2025, whereas remaining worthwhile.
The spherical was led by Spintop Ventures with participation from Bonnier-linked profiles Jakob Tolleryd, Chairman of Bonnier Capital, Peder Bonnier, Vice Chairman of Bonnier Group, and Joen Bonnier, Board Member of Bonnier Capital.
“This funding provides us the funds to speed up our product roadmap and seize the chance forward,” stated Fredrik Östgren, CEO and Co-founder of Hubert. “We’re revolutionising large-scale hiring for our prospects; and doing it profitably, with equity and transparency on the core.”
Based in 2016, Hubert autonomously conducts structured screening interviews, 24/7 at scale, serving to organisations streamline frontline and operational hiring. The platform reduces time-to-hire, allegedly saving as much as 80% of recruiter screening time, bettering high quality by as much as 5x.
“Hubert is setting a brand new international commonplace for truthful, data-driven hiring. The optimistic outcomes of AI interviews have already been demonstrated in a number of research and Hubert’s explainable AI has all of the elements to scale right into a class chief. We’re thrilled to assist them as they redefine managing high-volume hiring”, says Peter Carlsson, Companion at Spintop Ventures.
At a time when expertise acquisition groups face rising stress to ship outcomes quick and at scale; Hubert seems to be to supply a structured, bias-aware and scalable different to conventional screening, assuaging this problem.
Already trusted by trade leaders akin to Securitas, Coop, and ManpowerGroup, Hubert serves employers throughout retail, logistics, hospitality, and enterprise course of outsourcing.
As demand for moral, automated hiring options accelerates, Hubert goals to redefine how high-volume recruitment is completed – with measurable impression for each candidates and hiring groups.
