AI that learns from every frame of the past to see, understand, and act in real time beneath the waves.
Are you ready to teach AI how to see beneath the surface?
Across the subsea sector, inspection still relies on people manually reviewing endless hours of video footage – slow, costly, and limited by human attention.
Operators have defined a challenge. They need AI that can learn from years of archived footage, detect anomalies automatically, and act in real time.
Autonomous Eyes calls for innovators who can develop vision systems capable of turning inspection from a reactive task into continuous, automated awareness.
This is one of the most ambitious challenges in subsea AI and the one that could reshape asset integrity forever.
The Advisory Board, Compass, identified Autonomous Eyes as the priority theme because it unlocks value across every other area.
Visual intelligence is the foundation. Better anomaly detection enables more accurate risk profiling, historical pattern analysis strengthens predictive models and automated data capture and classification streamline execution and reporting.
The data is already there. It’s time to see what it knows.
Remote and autonomous operations are coming.
The sector is shifting to unmanned vehicles and reduced offshore crews. Autonomous vehicles need autonomous intelligence. They can’t rely on human operators or wait weeks for post-mission analysis.
Speed up inspections.
Real-time AI detection collapses the overall integrity cycle timeline. Time saved is vessel cost saved.
Exploit the latest data gathering technologies.
Advances in how subsea assets are captured and visualised are generating more data than ever. Without AI analysis, more data means more manual review.
Support inspectors and engineers.
AI acts as a co-pilot, not a replacement, providing real-time alerts for inspectors and immediate access to validated anomalies for onshore engineers.
Operators have vast archives of inspection footage capturing defects, corrosion, and anomalies across decades of subsea activity, but most of it remains untouched. The goal is to unlock that data and train AI to interpret it, then deploy those models to act autonomously in live operations.
We’re looking for solutions that can:
Solutions should combine computer vision, deep learning, and real-world usability, capable of scaling from lab to live deployment.
You’ll gain access to:
Current subsea inspection is slow and reactive, human inspectors reviewing hours of footage after the mission ends. AI has the power to change that, moving from retrospective analysis to real-time intelligence.
Your solution could help operators:
If your strength is computer vision, reinforcement learning, real-time detection or autonomous systems, this is your theme.
Your technology could enable one or more of these critical capabilities:
Together, these innovations could form a living, self-learning inspection network – one that sees, understands, and acts beneath the waves.
If you can build computer vision that learns from the past and acts in real time, join the Tide Breaker programme and prove it against decades of real subsea footage, validated with the operators who will use it.
Phase 2 is open and intake is rolling. Register your interest against Autonomous Eyes and the team will be in touch.
Intake is rolling. Readiness doesn’t follow a calendar.
If your organisation has proven capability that maps to any of the five themes, register your interest against a theme and the team will be in touch.
