How Spott Plans to Scale Its AI Recruiting Platform After a $21M Series A

Spott wants recruitment agencies to spend less time moving information between systems and more time working with candidates and clients. Its $21 million Series A, announced on September 22, 2026, gives the Leuven-based company funding to expand internationally and develop its AI-native applicant tracking system (ATS) and customer relationship management (CRM) platform.155

What the funding will support

Balderton Capital led the round, with Base10 Partners, Y Combinator and Fortino participating. Spott says the investment brings its total funding to $24.2 million and will go toward global expansion, enterprise functionality and further AI development. Funding coverage also identifies hiring as a priority.1558

That expansion has a geographic component: Spott says it is opening offices in New York and Sydney and moving to a larger office in Leuven. The Next Web reports that the company expected its workforce to grow from 44 to about 60 by the end of 2026, mainly through engineering hires. That figure is a reported plan, not a completed headcount.312

Why Spott is building for agencies

University friends Lander Degrève, Manu Vanderveeren and Samuel Smeys founded Spott in Leuven in 2024 after working with recruitment businesses through McKinsey, Bain and BCG. Their premise is that agencies facing pressure to improve efficiency still rely on fragmented, ageing software.89

Spott’s proposed answer is to combine applicant tracking, CRM, candidate data and outreach in one platform rather than add an AI tool alongside separate systems. Its press materials describe AI agents as part of that platform.1316 If information from CVs, conversations and pipelines can be made easier to search and act on, recruiters could spend less time reconstructing a candidate’s history. That is the product rationale, not a verified measure of time saved.

Where AI—and recruiters—fit

Balderton says the next phase includes proactive, agentic AI capabilities, extending the platform beyond recordkeeping toward identifying potential opportunities and suggesting next steps.5 The intended division of labour is for software to help surface relevant information while recruiters judge suitability and manage relationships with candidates and clients.

The research material describes human approval before candidates are moved into pipelines or presented to clients, but the supplied source excerpts do not independently confirm that specific safeguard. Nor do they establish data-ownership or privacy guarantees. Those controls would matter to agencies evaluating the platform, particularly as more candidate information and workflow steps are brought together.

The test for Spott is practical: whether a unified system and proactive AI reduce sourcing and administrative work without weakening recruiters’ control or trusted relationships. The funding and expansion plans are documented; consistent improvements in those outcomes remain to be demonstrated.