Enabling maritime autonomy through our hardware and software
In 2015, a group of engineers set out on a mission: “Delivering live ocean data collection while crossing the Atlantic Ocean with an autonomous, solar-powered vessel”. To achieve this mission, the team worked relentlessly for 7 years in their free time to design, build and test several unmanned vessels.
While building the first prototype, we quickly hit a wall: the crucial maritime autonomy components we needed simply didn’t exist on the market. Navigation intelligence, onboard computer, remote operations – every critical component had to be built from scratch.
In 2022, Mahi Two became the world’s first autonomous vessel to cross the Atlantic purely on solar power. It survived 8,000 km of harsh open-ocean conditions to reach Martinique. The crossing was proof that autonomy works when it is engineered without compromises and proven in conditions that break standard tech.
Today, we provide that foundation to you.
At MAHI, we build the technology we once needed ourselves: edge computers designed for salt and spray, AI navigation models trained on real ocean data and remote operation software shaped by operators who know what failure at sea really means.
We’ve dismantled the complexity of maritime autonomy so you don’t have to. We provide the open, universally compatible architecture that allows your fleet to evolve, innovate and scale.
We enable maritime autonomy for any mission.
Dismantling the complexity of maritime autonomy
MAHI’s products are built for seamlessly integration in any USV platform or crewed vessel, regardless of the size, onboard equipment or mission. Plug-and-play: Our edge computer MAHI Sense eliminates bespoke engineering and costly overhauls. Future-proof: Upgrades and maintenance are seamless, ensuring relevance throughout the vessel’s lifecycle. MAHI’s products are built for seamlessly integration in any USV platform or crewed vessel, regardless of the size, onboard equipment or mission.
Interfaces with any compatible maritime equipment
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