Intelligent Risk

Quantifying uncertainty to drive smarter, faster integrity decisions.

Transform how Operators understand and manage portfolio risk.

Are you ready to tackle one of subsea’s biggest unsolved challenges?

Operators have defined one of the core problems. Now innovators are invited to co-create the solution with them.

Operators across the subsea sector face the same problem: risk decisions are still driven by human judgement, experience, and incomplete data. Despite decades of inspection history and asset condition records, risk assessment remains largely subjective.

The opportunity is clear: to transform how operators understand and manage portfolio risk through AI that can analyse vast datasets, quantify uncertainty, and support confident, data-backed decisions.

This is where innovators come in. Intelligent Risk is one of the most urgent and high-impact challenges identified by Operators, and one of the biggest opportunities for innovation through Tide Breaker.

What needs solved?

Today, operators need to move from static spreadsheets and expert opinion to dynamic, data-driven intelligence that continuously learns and adapts.

They’re looking for AI that can fuse inspection, maintenance, and environmental data into risk models that prioritise where to act and when.

We’re looking for AI that:

Quantifies uncertainty and translates it into actionable insight
Generates explainable risk scores that engineers trust
Supports real-time prioritisation of inspection and maintenance
Offers intuitive dashboards and decision-support interfaces
Integrates with enterprise systems already used in subsea operations

Solutions should bridge analytics with practical delivery, tools that operators can rely on in live decision-making environments.

You’ll have access to:

Real inspection, maintenance, and anomaly data from operators
Standard documentation, workflows, and modelling requirements
Expert guidance from industry specialists through the Tide Breaker network

Why it matters.

Operators make hundreds of integrity decisions every year, often under pressure and with partial information.

The cost of getting it wrong, whether unplanned downtime, inefficient campaigns, or compliance risk, is massive.

The Intelligent Risk theme challenges innovators to build AI that gives operators a clearer view of what matters most. AI transforms subjective integrity decisions into quantified risk intelligence. By analysing inspection history, asset condition, environment, and consequence, AI ranks priorities and optimises investment decisions.

It provides the analytical foundation for every subsequent integrity action, directing effort and capital where they have the greatest impact.

Your solution could help operators:

Improve accuracy and consistency in portfolio risk assessment
Cut time and cost from inspection planning
Strengthen regulatory compliance
Direct investment where it delivers the greatest impact

Where AI fits.

If your strength is multi-criteria optimisation, decision support systems, optimisation algorithms or explainable AI, this is your theme. Your technology could contribute to one or more of these critical capabilities:

Automated Risk Profiling

AI that dynamically assesses risk across assets based on age, condition, environment, and consequence.

Decision Optimisation

Algorithms that balance safety, cost, and operational feasibility to support smarter choices.

Compliance Intelligence

Systems that track evolving regulations and map requirements directly to affected assets.

Each approach helps operators move closer to quantifiable, data-backed integrity management, and that’s where your innovation can make the difference.

JOIN THE

programme

The challenge is set. The data exists. What’s missing is the technology that brings it all together. If you can build AI that redefines how risk is understood and managed, join the Tide Breaker programme and prove it against real operational data.

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