Engineering design reuse
Finding previous engineer-to-order designs worth adapting, so engineers stop redrawing what already exists.
AI can create value across your whole value chain, and the opportunities reach well beyond generative AI, LLMs, and agents. Finding the right ones and turning them into execution takes someone who has built the models, the product, and the company around them.
Finding previous engineer-to-order designs worth adapting, so engineers stop redrawing what already exists.
Making specifications, standards, and past project knowledge searchable and usable by the people who need it.
Modelling how vessels perform from operational data, and turning that into decisions operators act on.
Building prediction and decision support into your products, so they give customers answers rather than just data.
Collecting, evaluating, and prioritizing AI use cases by value, feasibility, and risk, so effort goes where it pays off.
Weighing vendors, platforms, and in-house development against what you actually need to own.
After a PhD in machine learning at the Technical University of Denmark, I co-founded a maritime AI company focused on vessel performance and optimization. It was later acquired by Lloyd’s Register, where I served as VP of AI.
Having worked as CEO, CTO, CSO, and VP of AI, I look at AI from several sides at once: what is technically possible, what creates commercial value, and what a team can realistically deliver and operate.
Send me a short note. A few sentences is enough. Or book a call if you would rather talk it through.