We Are Changing the Paradigms of Design

HullGen — Our First Solution

HullGen is our first product: an AI system built for generating and optimizing hull shapes for marine vessels, including autonomous and specialized dual-use platforms. With variant generation measured in seconds, it dramatically accelerates the transition from functional requirements to comparable hull variants, significantly reducing costly CFD iterations in the design process.

The system is currently at the level of a working Proof of Concept at TRL 3.

• 45 input parameters

• 138 parameters describing hull behavior

• Seconds to generate a variant

• TRL 3 — working proof of concept

We are looking for partners for technical validation, design pilots, and R&D collaboration.

Early-stage hull design is too slow, too costly, and limits the number of variants explored.

Conventional workflows require multiple iterations and expensive CFD analyses. As a result, design teams compare too few variants, and poor decisions only surface at later, costlier stages of the project.

For both civilian and military marine vessels, this has direct consequences. Hull geometry affects drag, energy consumption, range, stability, and vessel behavior in a specific mission profile.

How HullGen Works

• 1

  Input parameters

  The user defines a subset of 45 parameters describing the vessel — e.g. dimensions, payload, operating conditions — and sets optimization objectives.

• 2

  Variant generation

  The system creates geometry variants within a structured parametric space and discards solutions that do not meet the defined constraints.

• 3

  Preliminary assessment

  Each generated variant is described by the full set of 45 defining parameters and 138 output parameters characterizing hull behavior, ready for further analysis and evaluation.

• 4

  Result ready for further work

  The user receives a package: 3D hull geometry (STL or STP file), run log, input and output parameters, and a seed identifier for full reproducibility. The geometry is ready for import into CFD tools and CAD environments.

Where We Are Today

HullGen is currently at TRL 3 — a working Proof of Concept in a laboratory environment. It is not yet a deployment-ready product. The current version demonstrates that it is possible to move from selected input parameters to generated and comparable hull variants in seconds.

We present a tool that can shorten the early design exploration phase and prepare better input for further analyses. HullGen does not replace the full design workflow, a complete CAD/CFD environment, final CFD analyses, or the end validation required before deployment.

Current Model Validation

At this stage, validation means four concrete things for us:

• Repeatability

  the same parameters lead to the same result within defined tolerance limits

• Auditability

  every run is logged and reproducible

• Geometry control

  the system does not promote physically unjustified solutions

• Reference comparison

  results are benchmarked against reference data within a clearly defined scope of application

Upcoming Work

• Building and configuring a CFD simulation-based learning loop for the generator.
• Parallel training of the generator using available hull databases.
• Adding the option to generate and optimize only a selected part of the hull.
• Designing a programming library for enforcing naval standards in generated models.

Goal: pilots with partners and expanding validation to cases closer to real-world projects — transition to TRL 4–5.

Where HullGen Delivers the Greatest Value

HullGen's area of application is the design and optimization of hull shapes for marine vessels.

HullGen can support shipyard design teams and R&D teams in moving through a larger number of shape variants faster, before more expensive analyses are triggered. The result is a platform better matched to a specific task, with reduced design time and lower cost per iteration.

For the end user, a better-matched hull for specific operating conditions translates to lower energy consumption, greater range, stability, and mission capability.

Application areas

• Recreational yachts and commercial vessels

• Special and technical vessels, including autonomous and unmanned platforms

Demo

See HullGen in Action

You can get acquainted with the current state of the HullGen technology demonstrator. The demo shows how the tool works, the optimization logic, and the form of output — not a final enterprise product.

The current demo is designed to show the technological direction and process architecture. Not all elements of full validation and high-fidelity simulations are yet integrated. Some current predictions are Proof of Concept in nature and will be developed toward greater reliance on additional data and more advanced simulations.

During the presentation we show:

• setting input parameters
• launching the optimization process
• early visualization of the generated variant
• review of output parameters, including e.g. drag curve as a function of speed
• comparison of output parameters to similar vessels from the database
• export of results, including STL or STP file

We also discuss the current state of the solution, the scope of meaningful use, and our development plans.

HullGen Is Our First Product, Not the Limit of Our Technology

HullGen is the first practical application of the technology developed by New Science Lab. We start with marine vessel hulls because this is an area where geometry directly affects drag, range, energy consumption, stability, and operational utility.

It is also a good first validation market: the problem is concrete, costly, and well-measurable. At the same time, the method itself has greater potential.

The Broader Ambition of New Science Lab

We are building technology that supports the generation, assessment, and optimization of shapes for objects operating in different physical environments. The emerging product engine, model training methodology, and validation approach are universal across many classes of shapes and environments.

After surface vessels, we plan analogous products for:

• underwater vehicles

• aerial platforms

• propulsion and flow components, such as propellers and turbines

Our goal is not to build a single geometry configurator. We are building the foundation for a broader platform combining AI, engineering knowledge, physical models, and design process control.

Team

An interdisciplinary team combining artificial intelligence, modeling and simulation, marine engineering, product development, and deep-tech commercialization experience.

The team is supported by experts in CFD, marine engineering, and machine learning, engaged at the stages of technical validation, selection of reference methods, and preparation of pilots.

Who We Are Looking For

We are at an early but documented stage of development. Our next steps are the transition from a working Proof of Concept to the first credible version of the product. We are looking for partners for collaborative development and for validating the technology in a real design and operational context.

Let's see if HullGen can shorten your path to a better design.

We welcome contact in any of the following areas of potential collaboration:

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