Cargofy raises €9.5 million Series A to deploy AI “digital workers” across freight operations - EU-Startups

2026-06-18 · Source: Series A" OR "Series B" OR "Series C" AI startup via Google News · Field: Transportation & Mobility — Logistics & Freight Transportation, Artificial Intelligence & Machine Learning, Entrepreneurship & Start-ups · Depth: Fundamental Awareness, medium

Summary

AI logistics technology startup Cargofy announced on June 18, 2026, the close of a €9.6 million (\$11 million) Series A funding round, comprising €5.2 million (\$6 million) in primary capital and €4.3 million (\$5 million) in secondaries. The round was led by u.ventures, Toloka, and Movens Capital, with participation from Des Traynor and other angel investors. Cargofy deploys AI "digital workers" to automate freight operations across Europe, the United States, and the Caspian region. These AI agents mirror human freight staff workflows, integrating with over 70 existing tools like TMS and ERP systems to manage tasks such as carrier communication, document handling, and dispatch operations around the clock. The company, which pivoted to AI agents in 2023 after accumulating terabytes of proprietary data, reports significant traction, including a 315-truck fleet saving approximately €72.4k (\$83K) monthly and a US client reducing annual logistics costs by over €4.3 million (\$5 million). Funds will expand local operations into new regions like Germany and the US, grow its global team, and enhance AI agent capabilities to cover comprehensive back-office workflows.

Key takeaway

For operations professionals or logistics managers seeking to significantly enhance efficiency and reduce costs, consider evaluating specialized AI platforms like Cargofy. Your teams can deploy AI "digital workers" that integrate with existing TMS and ERP systems, automating tasks from client communication to dispatch. This approach can lead to substantial operational savings, such as the reported €72.4k monthly for a 315-truck fleet, and enable a single dispatcher to manage ten times the usual fleet size, directly impacting your bottom line and scalability.

Key insights

AI "digital workers" automate freight operations by mirroring human workflows, significantly boosting efficiency and reducing costs.

Principles

• AI agents can mirror human workflows without requiring operational changes.
• Proprietary, industry-specific data is a key advantage for specialized AI solutions.
• Automating tasks with AI can drastically increase revenue per employee.

Method

Deploy AI agents that connect to existing logistics tools (TMS, ERP) to handle communication, documents, and dispatch, trained on proprietary operational data.

In practice

• Integrate AI agents with 70+ existing logistics tools for seamless automation.
• Train AI models on proprietary operational data to create specialized "digital workers."
• Expand AI agent functions from client communication to billing and compliance.

Topics

• AI Logistics
• Digital Workers
• Freight Automation
• Series A Funding
• Supply Chain AI
• Enterprise Software

Best for: Entrepreneur, Investor, Operations Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Series A" OR "Series B" OR "Series C" AI startup via Google News.