Engineering Ships
with AI — Faster.
HydroTwin AI is building next-generation hydrodynamics and structural monitoring systems while delivering high-impact maritime engineering solutions.
Engineered Intelligence.
Graph Neural Networks
Processing ship hull geometries as non-Euclidean data structures for superior accuracy.
Physics-Informed AI
Embedding CFD and fluid dynamic principles directly into the loss functions of our models.
Real-time Inference
Reducing simulation cycles from 24+ hours to sub-second predictions on standard hardware.
IoT Data Fusion
Bridging physical sensor data with digital twin models for continuous structural health mapping.
AI-Native Maritime Technology.
HydroTwin Studio
The ultimate desktop command center for maritime engineering. HydroTwin Studio wraps the immense power of **OpenFOAM** and **ParaView** into a guided, automated workflow that anyone can master.
Native WSL2
Seamless high-performance Linux simulation on Windows.
Guided Wizards
Multi-step resistance and seakeeping setup modules.
Thalix 1.0
Integrated AI Engine
Replaces standard CFD solvers with real-time AI inference. Predicts hull resistance and pressure fields in seconds using GNN-based physics models.
SHM 1.0
Structural Health Analytics
Connects live IoT hull data to the HydroTwin ecosystem, offering predictive maintenance alerts and structural safety scoring.
Scale your maritime
vision with our expertise.
Our engineering services leverage state-of-the-art AI architectures to solve the most complex hydrodynamic and structural challenges in shipping today.
Reduced Order Modelling (ROM)
Developing hyper-fast surrogate models using POD and deep learning to replace heavy CFD in real-time control loops.
Physics-Aware AI Models
Implementing PINNs (Physics-Informed Neural Networks) that respect fluid dynamic laws and structural constraints.
Geometry-Aware Deep Learning
Specialized GNN architectures designed for non-Euclidean ship hull data and structural mesh processing.
Digital Twin & IoT Integration
End-to-end architecting of ship digital shadows with real-time sensor fusion and predictive structural health mapping.
CFD & OpenFOAM Automation
Scalable numerical simulations with fully automated meshing and case execution pipelines.
3D Design & Modelling
Parametric hull form design and structural modeling optimized for hydrodynamic performance.
Custom Engineering Software
Tailored software solutions for complex engineering workflows, from custom solvers to automated design explorers.
Ready to start a project?
Explore how our Physics-Aware AI can transform your fleet performance.
Emmanuel Abazuonu (B.Eng, MSc)
Founder / CEO
Built at the intersection of
Naval Arch & AI.
Abazuonu Emmanuel Chigozie (B.Eng, MSc) is a maritime engineer and AI specialist with an MSc in Sustainable Ships & Shipping. His background spans CFD, AI architectures, and complex naval hydrodynamics.
Having developed the core MVP concepts during his award-winning thesis and gained experience at research hubs like SVA Potsdam, Emmanuel is on a mission to bring real-time intelligence to the global shipping fleet.
Education
MSc Sustainable Ships & Shipping
Expertise in CFD & AI-Native Design
Experience
SVA Potsdam Research Hub
AI-Powered Resistance Prediction
Let's build the
Maritime future.
Whether you are an investor, a ship owner, or a design firm, we want to hear from you.
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