Spott Raises $21 Million Series A to Expand AI Recruitment Platform
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Spott Raises $21 Million Series A to Expand AI Recruitment Platform

Balderton Capital leads the round as the AI-native ATS/CRM plans New York and Sydney expansion

9/22/2026
Ghita Khalfaoui
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Spott, an artificial intelligence native platform for recruitment agencies, has raised $21 million in Series A funding led by Balderton Capital, with participation from Base10, Y Combinator and Fortino. The round brings the Leuven based company's total funding to $24.2 million since it was founded by three university friends in 2024. The investment will support international expansion, enterprise development and further advances in agentic AI capabilities.


Addressing a fragmented recruitment stack

Recruitment agencies typically rely on separate tools for applicant tracking, CRM, sourcing, outreach, note-taking and scheduling, which often forces employees to transfer information manually between systems. Spott consolidates these functions into one AI-native platform that combines candidate management, search, conversations, outreach and automation. The platform transforms emails, CVs and recruitment pipeline data into searchable records, including databases containing up to two million candidates.

Human oversight remains central

Although Spott automates administrative and sourcing tasks, the company is clear that consequential decisions remain with recruiters. The system does not autonomously move candidates into pipelines or present them to clients without human approval. Lander Degreve, co-founder and chief executive, said recruitment succeeds through trust and human judgement, and that Spott gives agencies control of their data while putting AI to work around recruiters.

Early traction and customer impact

Spott launched its core platform in late 2025 and reports that revenue has grown more than tenfold since the start of 2026. More than 500 agencies now run on Spott, according to company data. At H.W. Anderson, over 100,000 dormant candidate profiles became searchable, and CGP Group rolled out the platform to 200 people across 12 countries, with customers reporting placement increases of up to 30 percent.

Expansion into New York and Sydney

The company will use the Series A capital to build out its teams in New York and Sydney, two markets that already account for 20 percent and 15 percent of revenue respectively. Spott plans to grow its workforce from 44 to more than 60 people by the end of the year while expanding engineering capacity. The funding will also support enterprise functionality for large, multi-country rollouts and proactive agents that surface useful insights while there is still time to act.

Investor confidence in a new operating model

Phil Chambers, Partner at Balderton Capital, said the founders understood this overlooked problem because they had seen its operational and commercial impact first-hand. He added that they have combined that insight with the technical ambition to rebuild recruitment's core infrastructure. Chambers noted that the speed at which customers are adopting Spott shows the company has built the solution this market has been waiting for.

A broader shift toward AI-native infrastructure

Spott's growth reflects a broader shift among recruitment agencies seeking to replace systems that treat the recruiter as the integration layer. In many firms, sourcing, outreach, scheduling and record keeping consume the majority of a recruiter's time, while judgment represents only a fraction of the job. By turning historical communication and pipeline data into actionable searchable information, Spott aims to scale output without forcing top performers to spend hours updating a CRM.


With $21 million in new funding and total backing of $24.2 million, Spott is positioning itself as a modern operating system for recruitment agencies that want to reduce administrative burden while preserving human judgment. Its planned presence in New York and Sydney and its focus on enterprise capabilities point to ambitious international growth. The company's next phase will test whether its AI-native approach can continue to deliver measurable placement improvements at scale.