Voltron Future announce the launch of the CTV-26 RON, a next-generation crew transfer vessel purpose-built for the offshore wind sector. This project marks the company’s official entry into the maritime market, bringing aerospace and automotive inspired optimisation principles into shipbuilding.
Developed in close collaboration with wind farm operators and marine professionals, the CTV-26 RON has been designed to deliver outstanding efficiency, reliability, and crew comfort.
The CTV-26 RON is a 26 metre multihull catamaran engineered for reduced fuel consumption, extended range and superior seakeeping. With capacity for 24 passengers and four crew, it achieves a top speed of 36 knots. The CTV complies with IMO, SOLAS, DNV/ABS and EU guidelines and features an elevated wheelhouse for improved visibility, a technician wet room and generous storage.
“We are thrilled to bring our optimisation driven mindset to the maritime industry,” said Umair Rauf, CDO of Voltron Future. “By collaborating with partners like Compute Maritime, we were able to accelerate our design cycle and explore multiple options, resulting in a more sustainable and efficient vessel.”
The design process was accelerated by advanced digital platforms. Voltron Future used Compute Maritime’s NeuralShipper to generate optimised hull forms within minutes, reducing drag and fuel use. “Our generative AI tool NeuralShipper enabled Voltron Future to compress design cycles from months to days. This was the first study where, as tool developers, we worked closely with designers to bring their vision to life,” said Junaid Awan, CTO of Compute Maritime.
To validate hydrodynamic performance, Voltron Future collaborated with Istanbul Technical University, applying advanced CFD and modelling expertise. “Our team ensured that the optimised hulls would perform reliably under real world conditions, supporting the transition to more efficient offshore operations,” said Cihad Celik, Research Assistant, Istanbul Technical University.
Large scale simulation was supported by Inductiva.AI’s platform, which enabled extensive CFD runs connected with NeuralShipper. “By leveraging Inductiva’s cloud-based simulation platform, Voltron Future was able to scale their CFD studies to hundreds of hull configurations in parallel, without waiting for scarce HPC resources. Our Python-based interface integrates with industry-standard solvers, so engineering teams can iterate faster and at lower cost. We see huge potential for this capability to accelerate innovation across the maritime sector and beyond,” said Luís Sarmento, CEO of Inductiva.AI.
To achieve the lowest possible fuel consumption, Voltron Future examined every aspect of the crew transfer vessel, including aerodynamics — an area often overlooked in ship design despite its significant impact on efficiency and safety. “By making aerodynamic analysis simple and fast, we help companies like Voltron Future unlock gains that were previously out of reach. We are excited to bring our expertise into the maritime industry,” said Wouter Remmerie, CEO of AirShaper.
“Maritime design has long been limited by slow, traditional processes,” said Umair Rauf, CDO of Voltron Future. “By applying the fast paced optimisation mindset proven in aerospace and automotive, and by working with cutting edge partners, we are bringing a new generation of sustainable vessels to market.”
About Voltron Future
Voltron Future applies high performance engineering methods from aerospace and automotive to maritime design, with a focus on sustainable offshore operations. voltronfuture.com
About Compute Maritime
Compute Maritime develops hybrid AI models and simulation platforms for ship design, including NeuralShipper, a generative AI tool for hydrodynamic optimisation. computemaritime.com
About AirShaper
AirShaper provides cloud based aerodynamic optimisation services, enabling rapid iterations to improve performance and safety in sectors including automotive and aerospace. airshaper.com
About Inductiva.AI
Inductiva.AI is a scientific computing company that democratizes access to high-performance simulation. Its platform enables engineers and scientists to run complex simulations on demand, using cloud and HPC infrastructure through a unified Python interface. Supporting domains such as computational fluid dynamics, molecular dynamics, coastal and renewable energy, Inductiva accelerates R&D by reducing costs, removing bottlenecks, and enabling large-scale exploration of design options.
