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Copenhagen's Plinto raises €2.9 million to help finance teams catch and fix errors with AI agents

Copenhagen-based startup Plinto has secured €2.9 million in pre-Seed funding to help finance teams catch and fix errors with AI agents.

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Source-provided image accompanying Copenhagen's Plinto raises €2.9 million to help finance teams catch and fix errors with AI agents
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eu-startups.com
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What happened

Copenhagen-based startup Plinto has secured €2.9 million in pre-Seed funding to help finance teams catch and fix errors with AI agents. The round was led by People Ventures and Emblem, with participation from a group of business angels. Plinto's AI agents are designed to sit on top of the systems companies already use, such as ERP, documents, bank, and collaboration tools like Slack or Microsoft Teams. The agents are capable of contacting a supplier about a wrongful invoice, requesting a credit note or preparing a correction for approval.

Plinto has secured €2.9 million in pre-Seed funding to help finance teams catch and fix errors with AI agents.

The round was led by People Ventures and Emblem, with participation from a group of business angels.

Plinto's AI agents are designed to sit on top of the systems companies already use, such as ERP, documents, bank, and collaboration tools like Slack or Microsoft Teams.

The agents are capable of contacting a supplier about a wrongful invoice, requesting a credit note or preparing a correction for approval.

Source details: eu-startups.com ↗

Why it matters

Plinto's AI agents can help finance teams catch and fix errors in real-time, reducing the risk of financial losses. The company's platform integrates with major ERP platforms, including Microsoft Business Central, Xero, and Visma, and connects to major Scandinavian banks as well as over 2,700 other banks. Plinto also says it never uses customer data to train AI models.

Plinto's AI agents can help finance teams catch and fix errors in real-time, reducing the risk of financial losses.

The company's platform integrates with major ERP platforms, including Microsoft Business Central, Xero, and Visma, and connects to major Scandinavian banks as well as over 2,700 other banks.

Plinto also says it never uses customer data to train AI models, ensuring data privacy and compliance with regulations.

Interactive Mechanism

Interactive Mechanism: How It Actually Works

Explore the underlying technology behind this development interactively.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
Interactive Concept Check+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

What to watch next

Plinto's AI agents are designed to be highly effective in catching and fixing errors in finance teams. The company's platform is integrated with major ERP platforms and connects to major Scandinavian banks. Plinto's AI agents are also capable of contacting suppliers about wrongful invoices and requesting credit notes or preparing corrections for approval.

Plinto's AI agents are designed to be highly effective in catching and fixing errors in finance teams.

The company's platform is integrated with major ERP platforms and connects to major Scandinavian banks.

Plinto's AI agents are also capable of contacting suppliers about wrongful invoices and requesting credit notes or preparing corrections for approval.

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