I help maritime technology companies find and execute the AI opportunities that create real business value.

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.

Daniel Jacobsen
  • PhD in machine learning
  • Successful Maritime AI co-founder
  • Former VP of AI at Lloyd’s Register

Questions you may be facing

  • Where could AI materially improve our margin or revenue?
  • Which opportunities are technically realistic with the data we have?
  • Should we build, buy, or partner?
  • How do we turn a promising prototype into something that runs in daily operation?

Examples of problems I work on

Engineering design reuse

Finding previous engineer-to-order designs worth adapting, so engineers stop redrawing what already exists.

Engineering knowledge retrieval

Making specifications, standards, and past project knowledge searchable and usable by the people who need it.

Vessel performance and optimization

Modelling how vessels perform from operational data, and turning that into decisions operators act on.

Product intelligence

Building prediction and decision support into your products, so they give customers answers rather than just data.

AI use case management

Collecting, evaluating, and prioritizing AI use cases by value, feasibility, and risk, so effort goes where it pays off.

Build, buy, or partner decisions

Weighing vendors, platforms, and in-house development against what you actually need to own.

About me

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.

Have an AI problem you’re thinking through?

Send me a short note. A few sentences is enough. Or book a call if you would rather talk it through.

Discuss an AI opportunity