Direct answer: Copenhagen startup Plinto has raised €2.9 million in pre-seed funding to build AI agents that spot and fix financial transaction errors — duplicate invoices, incorrect prices, payments that don't match the contract. The round was led by People Ventures and Emblem, and the money is earmarked for product development and expanding beyond Denmark. One customer is already seeing around 430 discrepancies flagged a month.
What happened
Plinto, founded in early 2025 by Nermina Suljevic, Jakob Nielsen and Sebastian Rehnby, announced the €2.9M pre-seed round on Monday. The team comes from Peakon, the Copenhagen employee-engagement company Workday bought for roughly $700M in 2021, and the four founders (CTO Andreas Garnæs included) all worked there.
The problem they're selling a fix for is one every finance team recognises. Your systems record every transaction, but checking whether those transactions actually match agreements and rules is still largely manual work. Controllers resort to spot checks or end-of-month reconciliations, and errors — a wrong price here, a duplicate invoice there — slip through until after the money has moved.
Plinto's answer is AI agents that live on top of the systems a company already uses: ERP, documents, banking, plus collaboration tools like Slack or Microsoft Teams. They don't just alert someone when something looks off; they're designed to investigate, gather the evidence and follow up — contacting a supplier about a wrongful invoice, requesting a credit note, or preparing a correction for a human to approve. As co-founder Jakob Nielsen puts it: "We're building AI agents that find deviations, investigate them and take action, so errors get fixed."
It's an early but real product: Plinto already has paying customers and pilot projects across logistics, real estate, facility services and food production. And the pitch that clearly won the investors over is the low-margin angle. CEO Nermina Suljevic said many of their customers work on thin margins where small errors add up — and are usually discovered only after payment. "We want companies to catch and fix errors before they hit the bottom line."
Sources: EU-Startups, Tech.eu, Startup Rise
What it means for UK small businesses
You probably don't have a team of controllers doing month-end reconciliations — and that's exactly the point. The errors Plinto's agents chase are the same ones that quietly drain small firms: paying a supplier twice because two versions of the same invoice landed in different inboxes, being charged last year's prices after a rate change, a delivery that didn't match the order being signed off anyway.
Two practical takeaways:
1. The agent model is coming to the boring stuff. AI agents in business conversation usually mean chatbots and sales automation, but the serious money is now going into agents that check, verify and chase. Our guide to AI agents for small business covers what's genuinely useful today versus hype.
2. You can get most of the value without waiting for Plinto. Proper AI bookkeeping setups already flag duplicates and anomalies in tools like Xero and QuickBooks. The discipline that matters — match every invoice to a contract line or purchase order before paying — is free and catches most of these leaks on its own.
Honest limits / what to watch
The "take action" part needs scrutiny. An AI agent that contacts your suppliers and requests credit notes is touching your business relationships. Invoices have real context — a duplicate-looking invoice might be a legitimate milestone payment. Every correction Plinto's agents prepare goes to a human for approval, and that human-in-the-loop design is the only thing standing between "helpful automation" and "embarrassing email to a key supplier." Keep that approval step. Always.
Data access is the whole game. These agents need read access to your ERP, banking and documents to work. For a UK business that's a GDPR and supplier-confidentiality question: know where your financial data flows, check the data processing terms, and don't grant broader access than the agent needs. Our GDPR and AI guide walks through the basics.
It's early and it's enterprise. Plinto is a pre-seed company founded last year with enterprise pilots. The €2.9M funds expansion "beyond Denmark," which likely means Europe first. Don't wait for this product — tighten your invoice controls now, and watch whether agent-based checking becomes a standard accounting-software feature (where you'd actually want it) rather than a separate startup's product.
FAQs
What does Plinto do?
Plinto builds AI agents for real-time financial controlling. They sit on top of a company's existing systems — ERP, banking, documents, Slack or Teams — check transactions against contracts, budgets and internal rules, and when they find a problem they investigate it, gather evidence and even chase the supplier for a correction.
Who invested in Plinto's €2.9M round?
The pre-seed round was led by People Ventures and Emblem, with participation from business angels. The money will go into product development, winning more enterprise customers and expanding beyond Denmark into international markets.
What kinds of errors do Plinto's agents catch?
The usual leaks: incorrect prices, duplicate invoices, mismatched deliveries and transactions that don't match the agreed contract terms. In one customer's operation, Plinto's agents flagged around 430 discrepancies per month in a single area.
Are Plinto's AI agents available to UK businesses?
Plinto currently serves paying customers and pilot projects in logistics, real estate, facility services and food production, and it has named international expansion as a priority for this funding. A UK launch hasn't been announced, but the funding is explicitly for moving beyond Denmark.
Do AI agents like these replace finance staff?
No — they change what the staff spend their time on. Plinto's agents do the tedious line-by-line checking and draft corrections for approval; humans still approve the fix. The honest pitch is fewer errors caught too late, not fewer finance people.
What should a small business do about invoice errors today?
Start with the basics: reconcile supplier statements against your purchase ledger every month, run duplicate-invoice checks in your accounting software, and put a simple rule in place that no invoice is paid without a matching purchase order or contract line. Tools like automated bookkeeping can catch a lot of this today.
