# EA Multus - Physics-Informed Machine Learning for Heavy Assets

EA Multus provides custom engineering insights for non-standard offshore and heavy industrial equipment using Physics-Informed Machine Learning (PIML).

## Technical Core
- **Digital Twins**: Dynamic subsea twins synchronized with Navier-Stokes physics.
- **Predictive Maintenance**: Wear estimation for cutters, seal failure prediction for mud pumps.
- **Structural Integrity**: Real-time FEM surrogates for fatigue monitoring.
- **Heavy Lifting**: Multi-layer winch drum stress and thermal fade modeling.

## Technical Articles
- [Cutter Tooth Wear Assessment](/insights#id-1)
- [Slurry Transport Instability](/insights#id-2)
- [Real-Time FEM Surrogates](/insights#id-3)
- [Mud-Pump Seal Failure States](/insights#id-4)
- [Deep-Water Winch Integrity](/insights#id-6)
- [Jack-Up Punch-Through Risk](/insights#id-8)

## Full Documentation
- [Full Knowledge Base (Markdown)](/content.md)
- [Standard Manifest](/llms.txt)

## Contact
- Contact: contact@eamultus.com
- LinkedIn: https://www.linkedin.com/company/eamultus
- Location: Netherlands / Norway / Global