ai Class · Team Profile

tameo ai

🇫🇷 École nationale supérieure de techniques avancées Paris

Taméo ENSTA is the ENSTA Paris student team, now entering its 5th Monaco Energy Boat Challenge. After two years refining onboard AI navigation, the team steps up to the AI Class with a fast, precise and fully autonomous boat.
The team

Meet the team

Taméo ENSTA enters its 5th participation in the Monaco Energy Boat Challenge with the same energy and passion that have driven the team since its creation. Each year, it welcomes many new members eager to innovate and take on ambitious technical challenges, building a team where experience is constantly renewed and every generation learns from the one before. Across these editions, Taméo has grown into a tight-knit group that designs, builds and races its own boats, applying the skills learned at ENSTA Paris to a demanding, real-world engineering project. Above all, the team is committed to passing on the knowledge gained in previous years, sharing its expertise and upholding the values that define Taméo: teamwork, creativity, technical excellence and a strong commitment to sustainable navigation.

University

École nationale supérieure de techniques avancées Paris

Country

🇫🇷 France

Based in

Palaiseau, France

Class

AI Class

Racing number

N°31

tameo
Tameo AI Boat
The boat

tameo ai

Following two years of developing and refining onboard AI navigation systems, the Taméo ENSTA team is ready to take a major step forward by entering the AI Class at this year’s Monaco Energy Boat Challenge. Building on extensive testing, iterative improvements and real-world trials, the team now feels confident in the maturity and reliability of its algorithms. This season the goal is clear: to bring the project to full fruition by demonstrating a fast, precise and autonomous boat capable of handling complex navigation tasks. To get there, the team is enhancing its sensor suite, optimising data-processing pipelines and improving decision-making models to ensure robust performance in every race condition. Driven by determination and innovation, Taméo is eager to showcase the progress it has made and compete at the highest level in the AI Class.
navigation

Onboard AI, 2 years of development

data

Optimised processing pipelines

Decision-making

Improved models for race conditions

ai Class · 2026

Follow the team at the Challenge

Taméo ENSTA competes in the AI Class at the 13th Monaco Energy Boat Challenge, 7–11 July 2026 in Port Hercule. After two years developing onboard AI navigation, the ENSTA Paris team steps up to the AI Class with mature algorithms, an enhanced sensor suite and refined decision-making models, aiming to demonstrate a fast, precise and fully autonomous boat.