What Are The New Technologies In Sailing? Artificial Intelligence Rocks Power Sailing
AI in High Performance Sailing
Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) has rapidly integrated itself into various high-performance domains, including sports. Sailing, a sport deeply rooted in science and strategy, is no exception to this trend.
AI has significantly contributed to all essential facets of sailing, from hull and sail design to steering optimization, tactics, and weather prediction. In this article, we’ll delve into the multifaceted role of AI in high-performance sailing and its transformative impact.
Designing Optimal Hulls and Sails

A saildrone in Dutch Harbor, Alaska, after the 2019 NOAA Arctic missions
The intricate dynamics of hydro- and aerodynamics heavily influence hull and sail design.
Innovations like Friendship Systems’ CAESES, among others, leverage optimization algorithms to refine design drafts. By incorporating parameters such as design weather conditions and target boat speed, these algorithms generate valuable design optimizations. Testing these predictions with a range of sensors, including pressure, colored-water videos, and water speed, and refining them using real-world data, yields a comprehensive model. This amalgamation of simulated and real data provides the foundation for AI-generated design models, saving time and resources while enhancing precision.
Fine-Tuning Trim and Steering

A Contender dinghy trimmed for a reach with the sail aligned with the apparent wind and the crew providing moveable ballast to promote planing
Optimizing sail and boat control involves parsing a multidimensional time-series challenge. Equipped with sensors scattered throughout the boat, monitoring sail settings, balance, rudder position, and rig tensions, AI analyzes these data alongside GPS coordinates. Through iterative adjustments of these settings and subsequent correlation analysis, an optimal GPS speed is derived. The same principle applies to boat steering optimization. Recorded data from various settings and maneuvers are analyzed to minimize energy loss during maneuvers. The data accumulation process enhances the accuracy of the AI analysis, culminating in a robust model capable of suggesting optimal settings and steering strategies. This AI model eliminates the need for resource-intensive testing sessions, advancing innovation at a faster pace.
Strategic Deployment of AI in Tactics and Weather Prediction

Boats heeling in front of Britannia Bridge in a round-Anglesey race 1998
AI-generated weather models, a staple in meteorology, also find a place in sailing. Deploying weather buoys across racecourses captures critical data. Machine learning algorithms extract patterns from this data, facilitating accurate weather predictions and aiding strategic decision making. Additionally, AI can leverage past boat data across diverse conditions to propose optimized weather routing. This entails identifying the quickest route for a yacht to reach its destination by merging weather and yacht performance models.
Insights from AI Integration

1 – mainsail 2 – staysail 3 – spinnaker 4 – hull 5 – keel 6 – rudder 7 – skeg 8 – mast 9 – Spreader 10 – shroud 11 – sheet 12 – boom 13 – mast 14 – spinnaker pole 15 – backstay 16 – forestay 17 – boom vang
Several key takeaways emerge from this overview:
– Continual Model Refinement: Sailing, while grounded in scientific principles, acknowledges that AI models are not infallible. As more data is accumulated, these models gain accuracy, though they remain imperfect. Nonetheless, current AI models surpass human capabilities but still possess room for growth.
– Comprehensive Tool for Specialized Tasks: AI’s significance lies in its ability to tackle compartmentalized tasks that are economically infeasible to test in the real world or challenging for human analysis. Rather than replacing sailors’ split-second decisions, AI serves as an aid in preparing for the race and analyzing errors of past races to enhance decision making in future races.
– An Evolving Landscape: Moreover, AI’s potential in sailing is boundless, with anticipated advancements pushing boundaries. Presently, AI serves as a tool for race preparation and error analysis, not as an active component during races.
Fmr Fordham University Sailing Captain Lauren Crossett told us:
“We’ve been racing all over Lake Ontario and using the latest apps that model out future wind forecasts, current, and the boats polars to find the best VMG and essentially tell you when to tack and how fast you should be going. As a result, it’s game changing.”
Crossett & husband above, sailing below:
In conclusion, AI has revolutionized high-performance sailing, streamlining design processes, enhancing steering precision, optimizing tactics, and empowering weather predictions. Leaning on AI’s analytical prowess and learning capabilities has yielded invaluable insights, augmenting sailing’s strategic dimension. While AI remains an indispensable tool, sailors’ quick thinking and strategic acumen continue to be the ultimate driving force during races. As technology evolves, AI’s role in sailing is poised to expand further, propelling the sport into new worlds of innovation.
Written by Leopold Maximilian Brandl
What Are The New Technologies In Sailing? Artificial Intelligence Rocks Power Sailing
About the Author: Leopold Brandl is a professional sailor, scientist, and the CEO and majority stakeholder of a race yacht management company. With a background in physics, computer science, and mathematics from Columbia University, Leopold has hands-on hydrodynamics simulation engineering experience at Friendship Systems.In addition, his highly successful track record as a sailor, combined with his scientific expertise, positions him as an expert on the intersection of technology and sailing.



