Porto hub gives DKV Mobility a new engine for fleet innovation

Porto hub gives DKV Mobility a new engine for fleet innovation

DKV Mobility is building a technology hub in Porto, Portugal, to strengthen the digital infrastructure behind its mobility offering. The centre will focus on data and artificial intelligence for refuelling, charging and fleet-management services—areas where industrial operators increasingly need one connected view of their assets and energy use.

The initiative reflects a practical challenge facing transport and logistics companies. Electrification is progressing, but fleets are not becoming uniform: conventional and electric vehicles must often be managed together. This raises the value of platforms that can combine operational data, automate routine decisions and provide consistent services across different use cases.

Porto hub gives DKV Mobility a new engine for fleet innovation

Scaling a European skills network

Capgemini will support DKV Mobility during the hub’s build-up, and the first specialists have already joined. The plan calls for around 50 positions by the end of 2026, followed by growth to roughly 150 people by the end of 2027. At that point, the team is expected to transfer fully into DKV Mobility.

The company is planning to recruit several hundred IT, data and AI engineers across Europe in the coming years. Porto will work alongside technology sites in Ratingen and Bucharest, using shared development processes. The new location is not intended to replace existing capacity: DKV Mobility says it will continue hiring and offering training and development at the established sites.

From digital capability to resilient operations

DKV Mobility sees the Portuguese operation as a centre of excellence rather than a standalone satellite. Its purpose is to shorten the route from data capability to market-ready products, helping fleet operators manage more complex mobility models and making better use of growth in e-mobility.

Porto was chosen for its universities, established technology community and availability of suitably skilled data and AI professionals. For industrial companies, the project highlights a wider trend: digital transformation increasingly depends not only on software, but also on distributed engineering capabilities that can sustain integration, automation and continuous improvement.

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