Primer Lands €86.2M to Expand AI Capabilities

The big picture: Primer, a London-based payments infrastructure startup, secured a €86.2 million Series C funding round. The capital will accelerate investment in AI for payments and finance teams, alongside driving its expansion in the US.

Why it matters:

• AI dependency: Future payment decisions in large businesses will increasingly rely on AI. Primer aims to provide the complete, contextual data necessary for these AI systems to perform accurately and avoid incorrect decisions stemming from fragmented data.
• Market consolidation: Payments are at a turning point, with merchants seeking unified infrastructure. Primer’s platform offers a single view across fragmented processors, acquirers, and fraud tools, addressing a critical vulnerability for organizations adopting AI.
• US growth: The US market already accounts for a fifth of Primer’s revenue, with year-on-year ARR doubling. This funding will support aggressive US expansion, targeting over a third of its business from the region by 2028 and creating up to 50 new roles.

How it works:

• Unified infrastructure: Primer provides a single platform covering the entire payments lifecycle, from checkout to payout. It records over 400 data points per transaction, handling more than 95% of customer payment volume for its merchants.
• AI agent expansion: The company will scale its proprietary AI agent, Primer Companion. This tool, released last year, currently answers complex payment queries and surfaces contextual insights for merchants.
• Autonomous operations: Primer Companion will evolve beyond informing decisions to executing them. It will run experiments, optimize performance, and operate autonomously within merchant-defined parameters, leveraging its full contextual understanding of payment flows.

The catch: The payments infrastructure market is highly competitive, with established players and other well-funded startups vying for market share. Primer’s success hinges on its ability to differentiate its AI capabilities and maintain a superior unified data layer against rapidly evolving competitive offerings and the inherent complexities of global payment systems.