Why we invested in Vente AI: Streamlining business development processes for recruitment agencies

Accelerating the recruitment sales process by automating lead identification and analysis.

Jed Rose

Partner
October 3, 2024
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The sales process for recruiters is complex and expensive

For the first time in a decade, selling to companies is the #1 problem for recruiters. The sales process for recruitment agencies hasn’t changed for years. It involves processing a huge number of leads and a multitude of disparate data points for each, just to get to a new customer. Currently teams use a wide range of processes and tools to find companies that are advertising jobs, check if there are matching candidates, identify pain points and insights from the job post, and work out who to sell to. This entire sales process costs recruitment agencies over £150K annually, and individual recruiters spend over 100 workdays per year seeking sales opportunities.

Introducing Vente AI: modernising business development for recruitment agencies

Vente AI is redefining business development for recruitment agencies by streamlining lead identification, analysis, and prioritisation through AI-powered automation. Vente feeds its advanced Lead Analysis models with over 20 recruitment-specific data points to recommend new opportunities most likely to close, and automates many of the top-of-funnel business development processes for recruiters. In doing so, Vente lowers the cost of sales by up to 90% for recruitment agencies, and saves each recruiter over 50 work days per year. Vente enables recruiters to focus on closing new jobs and growing their business.

Exceptional co-founding team, perfectly positioned to solve the market’s needs

Vente AI is led by an experienced founding team of serial entrepreneurs with deep expertise spanning recruitment, AI, software development, and scale-up operations. CEO Cameron Briggs brings over 12 years of industry experience, having previously founded a recruitment technology platform that facilitated 5 million job applications for top companies like Uber and HSBC. COO Itamar Yeshua previously worked with Cameron at a recruitment data intelligence company, and led commercial strategy and operations at various VC-backed companies including SeedLegals. CTO Octavian Neguletu brings over a decade of expertise in software engineering and technical leadership including at AOL, positioning the team well to seize the market opportunity.

Antler’s investment thesis: 

We are excited to be backing this team as they take on the legacy problems with recruitment sales, which represents a significant market opportunity. They bring many years of industry experience and have applied the latest AI technologies to the recruitment industry to make the process simpler. By sorting through countless fields including recruitment data points and real-time assessments of customer prospects, they have quickly gained paying customer traction through delivering very high-quality leads that convert significantly higher than other existing sales channels.

Already a game-changer, Vente AI's beta release generates over £60k in additional revenue for customers within just weeks of being onboarded. This is a fantastic signal of the value they’re already delivering in a huge market. Antler are proud to be partners with Vente, and warmly welcome them to the portfolio.

For all press enquiries: press@antler.co

Jed Rose

Partner

Jed Rose is a Partner at Antler and brings operator, advisor, and investor experience from Seed to Series C rounds. He was the GM of EMEA with Airwallex, a B2B fintech payments unicorn that is backed by investors such as Sequoia and DST Global. Prior to Antler and Airwallex, Jed was CEO at Paymentsense, where he led the fintech startup through a period of rapid growth with EBITDA growing from breakeven to £24m in just three years and to an exit. Prior to Paymentsense, Jed did product management for Microsoft Windows for six years where he focused on B2C, international expansion, and product pilots. Jed received a B.Sc. with Honours in Symbolic Systems from Stanford University and an MBA from the University of Cambridge.

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