Cargofy lands $6M to scale AI workers for logistics

Logistics technology company Cargofy has raised $11 million in a Series A funding round, consisting of $6 million in primary capital and $5 million in secondary transactions. The round was led by u.ventures, Toloka, and Movens Capital, with participation from Des Traynor, co-founder of Intercom, and several angel investors.

Cargofy develops AI-powered digital workers that automate freight operations for logistics companies across Europe, the United States, and the Caspian region. The company spent several years embedded in freight operations, collecting large volumes of proprietary data before pivoting in 2023 to build AI agents trained on that data.

Today, Cargofy provides AI agents designed to replicate the workflows of freight professionals without requiring companies to change their existing processes. The platform integrates with more than 70 logistics tools, including transportation management systems, ERP platforms, load boards, compliance systems, and communication channels. Its AI agents can handle tasks such as carrier communication, document processing, dispatch coordination, and follow-up activities around the clock across multiple languages and markets.

According to the company, the technology enables logistics teams to increase operational efficiency significantly, allowing individual dispatchers to manage larger fleets and helping customers reduce operating costs.

We're not building logistics software - we're building AI infrastructure where companies can hire digital employees for their operations. One person can now do the work of ten, and revenue per employee grows. That's how we see the future of this industry,

said Stakh Vozniak, CEO and founder of Cargofy.

The new funding will support the company's international expansion, including the launch of new operational hubs across Germany, the Netherlands, France, Spain, and additional regions in the United States.

Cargofy also plans to expand its presence into new markets, strengthen its global team, and further develop its AI agents by extending automation capabilities from customer-facing processes to back-office functions such as billing, compliance, and carrier coordination.