Custom equipment.
No off-the-shelf solution.
Plan maintenance before downtime hits.

Predict wear, loads & operating modes for custom offshore and heavy industrial equipment. Our engineering physics-based models leverage your existing data to provide actionable health insights.

GET YOUR FREE FEASIBILITY ASSESSMENT

We verify if your data is ready for Physics-ML. No cost, expert review.

Why EA Multus for Predictive Maintenance?

Tailored to Your Equipment

Custom offshore and heavy industrial assets require custom solutions. We deliver ML models specific to your equipment's physics and operational conditions.

Works with Sparse Data

Physics-Informed ML means you don't need massive datasets. We embed engineering knowledge directly into models to work with your existing sensor data.

100% Code Ownership

No vendor lock-in. You receive the complete working product with full source code, documentation, and retraining procedures. Delivered in 12 weeks.

Technical Insights & Engineering Solutions

Physics-Informed Machine Learning for Custom Assets

Physics-Informed Machine Learning (PIML)

We solve the 'reality gap' in deep-sea digital twins by embedding physical laws (Navier-Stokes, Hertzian Contact, thermal dynamics) directly into the learning loop. This approach enables accurate predictions even with limited historical failure data.

Predictive Maintenance for Custom Assets

From cutter-tooth wear estimation in turbid water to mud-pump seal failure state segmentation using MS-TCN architectures. We handle non-standard equipment where OEM monitoring doesn't provide the insights you need.

  • Anomaly detection for variable operational conditions
  • Virtual sensing for unmeasurable parameters
  • Remaining Useful Life (RUL) estimation
  • Failure prediction before critical events

Structural Health & Heavy Lifting

Real-time FEM surrogates for ladder fatigue analysis and multi-physics PINNs for deep-water winch drum integrity monitoring and thermal fade prediction. Specialized solutions for offshore cranes, pipelay tensioners, and heavy lifting systems.

Our Process

Step 1: Free Data Feasibility Check (2 Weeks)

We review your sensor data (open to NDA), confirm physics-based solvability, and provide a Go/No-Go recommendation. Zero cost & no obligation.

Step 2: Model Development (8 Weeks)

Physics-ML model creation with weekly sync meetings. We embed domain knowledge and validate against your operational data.

Step 3: Integration & Handoff (2 Weeks)

Deployment to your infrastructure, full documentation, and team training. You own the complete solution.

Are You Ready to Reduce Downtime?

Custom equipment where OEM monitoring doesn't give the needed insights

You have specific recurring failure problems

Dynamic, non-stationary operational conditions (variable loads, sea states)

You want a free expert technical assessment to de-risk the solution

Don't start with a contract. Start with proof.

Every engagement begins with a 2-week feasibility assessment. We analyze your data, map the physics, and give you a Go/No-Go recommendation for development.

REQUEST FEASIBILITY ASSESSMENT →

EA MULTUS B.V.

Serving Netherlands, Norway, and Northern Europe offshore equipment sector

Contact: erduan@eamultus.com