Technology grounded in physics, proven in operations
"Data! Data! Data! I can't make bricks without clay." — Sherlock Holmes, The Adventure of the Copper Beeches
Nautilus ML blends physics models, operational data, and engineering judgement into one robust engine for subsea decision-making.
1. Three pillars
- Physics-based understanding – We start from established engineering and hydrodynamic principles, not a black box.
- Data from projects and simulations – We use large sets of simulated and real-world scenarios to teach the AI how your system behaves across a wide envelope.
- Explicit engineering judgement – We embed expert limits, safety margins, and design rules so the model reflects how experienced engineers actually decide.
2. Real-time performance, not shortcuts
Instead of running a new detailed simulation for every tiny change in conditions, Nautilus ML re-uses what you already know.
The result: instant responses that stay consistent with the reference methods you trust.
3. Designed for high-stakes environments
Built from day one for offshore and subsea applications where trust, traceability, and conservatism matter.
Mention at principle-level only:
- Transparency of assumptions
- Clear operating envelope
- Human-in-the-loop by design
4. Built to integrate
Nautilus ML is designed as a platform, not a point solution.
We can connect to your existing data sources and tools so teams don't have to change the way they work overnight.