Spott Raises $21 Million Series A to Build AI Operating System for Recruiters

Spott Raises $21 Million Series A to Build AI Operating System for Recruiters

Spott, a Leuven, Belgium-based startup building an AI-native operating system for recruitment agencies, has raised a $21 million Series A round led by Balderton Capital, with participation from existing investors Base10 Partners, Y Combinator, and Fortino Ventures. The round brings Spott's total funding to $24.2 million, following a $3.2 million seed round in 2024.

Founded by Lander Degreve, Manu Vanderveeren, and Samuel Smeys, three co-founders who previously advised recruitment businesses at McKinsey, Bain, and BCG, Spott combines record management, candidate search, messaging, outreach, and workflow automation into a single platform for recruitment agencies. The product lets recruiters search across candidate databases of up to two million records spanning emails, resumes, and existing pipelines, replacing a patchwork of separate tools many agencies currently rely on.

Spott says its revenue has grown more than tenfold since the start of 2026, roughly six months after its main platform launched following the seed round. The company now counts hundreds of recruitment agencies as customers, including H.W. Anderson and the 200-person CGP Group, which has deployed the platform across 12 countries, evidence of enterprise-grade traction for a company still early in its Series A stage.

The recruitment technology category has seen a wave of AI-native entrants over the past two years, as large language models make it practical to automate candidate search, matching, and outreach tasks that previously required significant manual recruiter time. Spott's pitch to agencies specifically, rather than to in-house corporate talent teams, targets a segment of the market that has historically been underserved by more corporate-focused applicant tracking systems, giving it a more defined wedge than a broader horizontal HR tech platform might have.

Balderton Capital's decision to lead this round, stepping in for a firm that did not participate in the earlier seed, alongside continued backing from Y Combinator and Base10, suggests the tenfold revenue growth figure carried real weight in the fundraising process, a signal worth noting for other early-stage vertical AI companies targeting a similarly narrow, underserved professional segment.

The fifteen-month gap between Spott's seed round and this Series A, shorter than the typical multi-year gap between early-stage rounds, reflects a broader compression in fundraising timelines for AI-native companies that can point to fast, verifiable revenue growth once their core product ships, rather than the multi-year proof points more typical of pre-AI enterprise software companies at the same stage. Spott's decision to focus specifically on recruitment agencies rather than in-house corporate recruiting teams also means it competes more directly with a fragmented set of smaller, agency-focused tools than with the handful of large incumbent applicant tracking systems dominant in the corporate segment, a narrower but potentially less contested starting wedge.

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