I recently explored why ocean observation underpins a strong ocean economy. With advances from seabed mapping to real time sensors, we’re seeing the ocean in ways that were unimaginable a few years ago. But observation is only the start. AI and quantum technologies are reshaping decision‑making at sea, and this is Canada’s moment to lead.
The Ocean as a Living Data Layer
Our ocean is becoming increasingly digitized. Sensors are now deployed on vessels, autonomous drones, buoys, and underwater platforms. Low-cost satellites are multiplying the scale and fidelity of Earth observation. For the first time, we’re generating meaningful ocean data at a scale that AI systems can use.
Historically, lack of usable data has been one of the biggest barriers to applying AI in the ocean. Now the challenge is how we structure, share, and act on that data, particularly in real time, in extreme conditions, and across jurisdictions.
From Algorithms to Action: AI in Ocean Applications
AI in ocean isn’t just about building a good model. It’s about sustaining intelligent systems in remote, disconnected, and unpredictable environments. What does that unlock?
- Smarter weather prediction to improve safety and operations, from ship routing to offshore wind optimization.
- Autonomous inspection of vessels, subsea cables, and offshore platforms using drones paired with agentic AI.
- Adaptive digital twins that update with real time data to forecast biodiversity shifts, support stock assessments, and guide infrastructure planning.
- Smarter resource management, from monitoring protected areas and detecting illegal fishing to enabling selective gear that reduces bycatch.
We’ve also seen tangible commercial results. ThisFish, an early Ocean Supercluster investment, has boosted efficiency in fish processing through automated quality inspection, proving AI can drive both sustainability and profitability. As well, OnDeck AI, once a $10,000 Ocean Idea Challenge winner, is now emerging as a leader in marine object identification for defence, showing how small AI bets can scale into major outcomes with the right ecosystem.
Ocean Expert Knowledge Important for AI Founders
Building AI for the ocean isn’t like building for fintech or e‑commerce. The ocean is open, unpredictable, and interconnected; it ignores borders and bandwidth limits. To accelerate ocean intelligence, we need to design with those realities in mind.
Some things AI innovators should consider:
- The ocean moves in seasons. Missing a weather window can delay your testing by a year. Seasonality affects everything from data collection to validation and deployment.
- You’re operating in a contested, regulated space. From Indigenous data sovereignty to international maritime law, AI tools need to be designed with permission, security, and compliance in mind.
- Context matters. A model trained in the Pacific might underperform in the Arctic. AI systems must adapt to local conditions and evolving baselines.
- Many ocean tech projects still stall between research and real-world deployment. There is still work to do to develop paths from pilot to product, including investments in market validation, procurement pathways, and deployment infrastructure.
- Collaboration: success in ocean AI means working across sectors, engineers, Indigenous leaders, regulators, and researchers. Building trust across these communities is just as important as technical performance.
- Designing with AI ethics at the core: respecting data sovereignty, minimizing environmental impact, and ensuring autonomous systems act responsibly. Ethics also means inclusion: rural, remote, and Indigenous communities must have the tools, training, and insights to benefit from ocean innovation, not just experience its effects.
AI Ocean Projects to Watch
Canada’s Ocean Supercluster has co-funded over 150 projects, half of which now feature AI.
- Forecast AI: A $4.5M project led by MarineLabs to deliver hyper-local marine weather forecasts using AI, improving safety and operational planning for maritime operators.
- Oceanic Digital Twin Maritime Autonomy: A $6M initiative blending digital twins with autonomous maritime systems to increase efficiency, develop predictive maintenance algorithms and support next-generation communications frameworks.
- Enhanced Aquaculture Health Monitoring: A $5.9M AI-driven initiative to track fish health in real time and reduce stock losses, helping future-proof global food supply.
- Maritime Emergency Response System (MERS): A $1.4M AI system to enhance Canada’s ability to respond to maritime incidents with real time data and decision support.
- Environmental Genomics for Aquaculture: A $2.9M project leveraging AI to interpret eDNA for improved pathogen detection and environmental performance in salmon aquaculture.
- Smart Hook: A $4M project to build an autonomous recovery system for underwater assets, merging robotics and AI to tackle one of ocean tech’s most operationally difficult problems.
These are commercial-scale projects built with partners, co-investment from industry, and global applicability.
The Quantum Multiplier
Quantum computing could dramatically accelerate what’s possible (see the Canadian National Quantum Strategy). Optimizing marine logistics, simulating ocean-climate interactions, managing high-volume sensor data – these are computationally intensive problems that could be ideally suited to quantum computing as capabilities mature.
Combine quantum with autonomous systems and real time analytics, and we move from reactive to predictive ocean intelligence.
Canada’s Moment: A Leadership Opportunity in Ocean Intelligence
Canada has the world’s longest coastline, vast ocean territory, and strong AI and quantum ecosystems, but these strengths are still too often siloed. Ocean innovators rarely connect with quantum labs, AI founders don’t know the ocean’s urgent challenges, and investors haven’t yet recognized the ocean economy as a major data and intelligence frontier.
It’s also a key moment for dual‑use ocean technologies, where civilian, environmental, and defense needs converge in areas like surveillance, maritime awareness, and autonomous systems. Canada’s reputation for trusted, secure, and resilient tech gives it an edge.
The task now is to build the bridges, linking people, platforms, and capital, so Canada doesn’t just participate in this convergence but helps lead it globally.
A Call to Investors: This Is the Next Frontier
Canada has a generational opportunity to lead in ocean intelligence. With world‑class AI and quantum talent, rapidly expanding ocean datasets, and one of the planet’s most complex marine environments, including an Arctic coastline that spans nearly half the country, we’re positioned to turn this advantage into a global export.
But we need to move quickly and responsibly. For AI and deep‑tech investors, the next frontier isn’t land or space, it’s the ocean.
By: Kendra MacDonald, Chief Executive Officer, Canada’s Ocean Supercluster