Predictive Integrity

The predictive lens that sees degradation before it becomes downtime.

Transform how operators predict and prevent degradation.

Are you ready to predict problems before they happen?

Across the subsea sector, maintenance remains tied to the calendar, not the condition of assets. Inspections happen on fixed schedules, often too early, sometimes too late, leading to wasted time, unnecessary costs, and avoidable failures.

This challenge is about shifting from routine inspection to intelligent prediction. Predictive Integrity focuses on building AI that can forecast degradation long before it leads to downtime, helping operators move from reactive to truly proactive asset management.

For innovators, this is an open opportunity to prove what predictive intelligence can achieve in one of the most complex environments.

What needs solved?

Operators need technology that continuously learns from inspection, material, and environmental data. Models that evolve as new information arrives, delivering real-time visibility into asset health and performance.

We’re looking for innovators who can:

Develop models that identify what will degrade, when, and why
Combine historical inspection and environmental data to build accurate forecasts
Model complex degradation mechanisms unique to subsea conditions
Continuously update predictions as fresh inspection data is captured
Support dynamic maintenance and inspection scheduling
Visualise predicted risk in ways engineers can easily interpret

You’ll have access to:

Up to 20 years of inspection and maintenance data from operators
Technical guidance from corrosion, fatigue, and subsea experts
Seamless integration pathways through the Elementz platform

Why it matters.

Predictive Integrity isn’t just about data, it’s about time. Every unplanned shutdown, every over-serviced campaign, costs operators millions.

This theme invites innovators to develop solutions that predict degradation with confidence, giving operators the foresight to plan better, spend smarter, and extend asset life safely.

Your solution could help operators:

Prevent unplanned downtime through early detection
Optimise inspection campaigns and intervention schedules
Extend asset lifespan through better decision timing
Deliver proven accuracy in predicting degradation patterns

Where AI fits.

If your strength is predictive modelling, time-series forecasting or physics-informed machine learning, this is your theme. Your technology could support one or more of these key capabilities:

Predictive Scheduling

AI that identifies optimal inspection intervals based on condition, not calendar.

Remaining Useful Life (RUL) Estimation

Machine learning models that forecast corrosion progression and remaining asset life.

Simulation

Virtual asset models that replicate degradation under varying conditions to guide maintenance planning.

Together, these capabilities move the industry closer to true condition-based integrity management, and your AI could be the catalyst that makes it possible.

JOIN THE

programme

The challenge is real, the data is ready, and the opportunity is wide open.

If you can design AI that predicts asset degradation before it happens, join the Tide Breaker programme and prove it against up to 20 years of inspection and maintenance data.

Phase 2 is open and intake is rolling. Register your interest against Predictive Integrity and the team will be in touch.