Al-Designed CTV Saves 100,000 Liters of Fuel, 258 Tons of CO2 a Year Maritime Activity Reports, Inc. June 9, 2026 © Compute Maritime Compute Maritime, the deep tech company behind NeuralShipper, the world's first Al platform for ship design, has revealed the results of its UK Government-funded project, GenDSOM, to bring generative Al and additive manufacturing into ship design. Working with consortium partners Siemens Digital Industries Software, Rapid Fusion, HP, BYD Naval Architects and the University of Southampton, the project has produced a next-generation crew transfer vessel (CTV) for the offshore wind sector that, in detailed performance modeling, saves 101,671 liters of fuel and 258.7 tons of CO2 per vessel every year compared with a conventional baseline. The designed vessel, a 32.5-meter twin-hull CTV designed by BYD Naval Architects and built to carry 24 offshore wind technicians and four crew, was developed using Compute Maritime's Neural Shipper Al to optimize its hull form, then paired with a diesel-electric hybrid propulsion system, developed with Siemens Energy. The combined result is an 11.1% reduction in annual fuel consumption and an 8.9% reduction in CO2 emissions against a like-for-like conventional diesel vessel operating the same offshore wind duty cycle. One finding underlines why the Al optimization matters so much. Modeled across a full day of operations, the baseline vessel ends the day with a 34 kWh energy deficit, drawing the batteries beyond their safe discharge limit and falling short of the 25-knot service speed. The Neura Shipper-optimized vessel reverses this, finishing the day with a 106 kWh surplus, comfortably within the battery's operating envelope and delivering full service speed.  At the heart of the saving is the hull itself. NeuralShipper generated and refined a hull form that reduces the power required at the vessel's 25-knot service speed by 6.3%, with reductions of up to 11.6% at higher speeds. Because a crew