AI that learns from every frame of the past to see, understand, and act in real time beneath the waves.
Are you a start-up 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.
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 start-ups who 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:
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’re a start-up and can build computer vision that learns from the past and performs in the field, join the Tide Breaker programme and prove your AI skills in live subsea operations.