Wednesday, June 25, 2025
Home News Veson Nautical acquires AI-driven data platform

Veson Nautical acquires AI-driven data platform

Veson Nautical, a global freight management solution provider, announced its acquisition of Shipfix, a collaborative data platform for the maritime and trade sectors driven by advanced Artificial Intelligence (AI)-enabled tools.

As Veson’s second acquisition this year, Shipfix is expected to further Veson’s pursuit to deliver quality, contextual data to the industry. Veson will continue to offer Shipfix’s suite of maritime solutions and bring the full Shipfix team onboard.

Shipfix was founded in 2018 to solve the email overload challenge encountered by chartering desks. Shipfix provides a data platform allowing trade professionals to make smarter decisions and ultimately trade smarter and faster. Their product suite has expanded beyond front-line trading and chartering into operations teams and physical trading. Shipfix supports dry and tanker clients alongside other customers interested in freight market insights.

Shared clients will see the combined impact of Veson Nautical and Shipfix as Shipfix’s pre-fixture data and insight capabilities are combined with Veson’s existing end-to-end workflows to produce an unmatched freight trading and operations solution for the market. In addition, the data intelligence offerings from both Veson Nautical and Shipfix will become stronger through the consolidation, rationalisation, and standardisation of critical industry reference data.

John Veson, co-founder and CEO at Veson Nautical, commented, “A massive amount of data goes into pre-fixture decision-making. We’re fortunate to have a growing integrated dataset that helps clients leverage contextual data across vessel specifications, ownership structures, commodities, trade flows, and tonnage flows, all in one place. I am thrilled to officially welcome Shipfix’s expert team to Veson as we add their market-validated and accepted chartering and operations platform to our suite of solutions.”





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