Adfin raises $18M to fix UK’s late payment problem
Adfin, the London-based fintech, has raised an $18 million Series A round to build the agentic money movement platform. It is beginning by working on helping businesses get paid on time, and ending with money that moves itself.
The funding round was led by Index Ventures, with participation from Visionaries Club, and new investors Stéphane Kurgan (former COO of King) and Andrey Khusid (founder of Miro). The raise takes Adfin’s total funding to more than $30 million in under two years.
The company’s core pitch targets a stubborn problem: in the UK alone, almost two-thirds of SME invoices are paid late. The consequences cause a ripple effect, strained working capital, slowed hiring, and in the worst cases, businesses that fail due to lack of cash.
Adfin pairs its proprietary payment infrastructure with Agentic AI to decide the best course of action for each client and automate the tedious task of chasing unpaid invoices. This infrastructure has already delivered results for Adfin’s customers, with them seeing only 9% of invoices paid late: nearly 7x better than the 63% figure for the UK as a whole.
Liam McHugh, Director, Steve Pye & Co, a Norwich-based accounting practice said: “Since using Adfin we’ve seen nearly a 3x reduction in the number of our invoices that are paid late. It’s had a meaningful impact on our cashflow. It also means our team no longer has to spend time chasing invoices, and instead can focus on serving our customers and growing our business.”
The Series A will fund expansion beyond collections into end-to-end cashflow management, alongside engineering and sales hires and groundwork for international markets. The longer-term ambition, as chief executive Tom Pope frames it, is finance infrastructure that acts on its own – deciding when to move money, how to optimise cash positions, and what to do next, with humans setting the rules rather than running the processes.
Tom Pope, Co-Founder and CEO, Adfin, commented: “Money movement isn’t admin, it’s the bloodstream of every company.
“By owning both the underlying financial infrastructure and the agentic workflows on top, we’ll let finance teams deploy agents in a way nobody else can.”
Pope was careful to stress the limits the company is placing on automation, citing customer demand for systems that are “safe, auditable, trackable, with humans firmly in control.” That framing has become a recurring theme among enterprise AI vendors wary of putting customers off with promises of fully autonomous systems.
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