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§ Private Profile · 239 Causeway Street Suite 300, Boston, MA 02114, USA
Sea Machines Robotics is a technology company.
Sea Machines Robotics develops autonomous command and control systems and computer vision technology for commercial vessels. Their offerings include advanced autonomy solutions enabling intelligent voyage control, remote operation, and collision avoidance via AI-powered perception. This technology enhances safety, efficiency, and environmental sustainability for diverse marine operations.
Founded in 2015 by marine engineer Michael Gordon Johnson, Sea Machines emerged from his two decades in the marine industries. Johnson observed the limitations of manual vessel control and the progress of autonomy in aviation and automotive. This inspired him to bring innovations to maritime navigation, establishing the company in Boston to pioneer marine robotics.
Sea Machines' solutions serve marine sectors like workboats, government and defense, shipping, and passenger transport. The company transforms ocean mobility by integrating data-driven intelligence and connectivity. Their vision is a future where artificial intelligence governs most vessels, improving global maritime logistics and safety.
Sea Machines Robotics has raised $39.0M across 4 funding rounds.
Sea Machines Robotics has raised $39.0M in total across 4 funding rounds.
Sea Machines Robotics is a Boston-based technology company developing autonomous command and control systems, AI-driven perception, and remote helm technologies for commercial workboats, vessels, and defense applications[1][2][5][6]. Their products, such as the SM300 (autonomous control for survey vessels, tugs, ferries), SM200 (wireless remote helm), and AI-Ris (AI recognition for safety), enable retrofits on existing vessels or integration into new builds, serving operators in hydrographic surveys, patrol, search-and-rescue, oil spill response, and naval missions[1][3][4][7]. These systems solve key maritime challenges like human error in navigation, crew safety risks, and operational inefficiencies by providing collision avoidance, precise path-following, and remote operation, potentially doubling productivity and reducing costs by 40% or more through fewer crew changes and higher on-water time[2][3].
The company targets commercial fleets (e.g., A.P. Moller-Maersk, Marine Spill Response Corporation) and defense customers, with growth shown through product launches since 2019, global deployments, and expansions into uncrewed surface vessels (USVs) like SELKIE and STORMRUNNER, plus software like TALOS for edge autonomy in GPS/comms-denied environments[4][5][6][7][8].
Founded in 2015 by marine engineer Michael Gordon Johnson, Sea Machines emerged from his 20 years in the marine industry, particularly while working on an oil-spill response team in the Arctic, where he identified the need to replace manual control's limitations with autonomy—already advancing in aviation and automotive sectors[5][6]. Johnson, a visionary leveraging Boston's robotics hub, rooted the company waterfront-side to build data-driven intelligence for ocean mobility[5].
Early traction built quickly: In 2018, they trialed perception tech (computer vision, LiDAR) on a Maersk ice-class ship—the first such use on a container vessel—and released commercial products like SM300 and SM200 in 2019[3][6]. Pivotal moments include U.S. Navy contracts, U.S. Department of Transportation demos for oil-spill recovery, and partnerships like Hike Metal for SAR vessels, establishing them as a leader in ton-plus vehicle autonomy[5][6].
Sea Machines rides the maritime autonomy wave, paralleling autonomous trucks and drones by addressing ocean industries' lag—where human error causes 75-96% of accidents—amid labor shortages, rising fuel costs, and decarbonization pushes[2][5]. Timing aligns with IMO regulations for safer navigation, defense needs for attritable USVs in contested seas, and commercial demands for efficient fleets in surveys, ferries, and spill response[3][4][6][8].
Market forces favor them: Billions in investments mirror auto/aviation; dual-use tech taps naval budgets (e.g., US Navy) while commercial wins like Maersk trials scale adoption[5][6]. They influence the ecosystem by operating the world's most active marine test fleet in Boston Harbor, validating tech, and expanding product lines (six new defense offerings), accelerating industry shift to AI-controlled vessels[4][5][8].
Sea Machines is positioned for explosive growth as maritime autonomy scales from pilot assists to fleet-standard, with SM300-SP and USVs like STORMRUNNER enabling low-cost, attritable defense deployments and commercial efficiency[4][7][8]. Trends like AI edge processing, hybrid propulsion integration, and regulatory tailwinds will propel them, potentially capturing share in a $100B+ workboat market while influencing standards via their test fleet and contracts[5].
Their influence may evolve into platform leadership—powering "autonomy without limits" across coastal/offshore ops—tying back to Johnson's vision of AI dominating vessel control, transforming ocean mobility from manual risk to intelligent precision[4][5].
Sea Machines Robotics has raised $39.0M across 4 funding rounds. Most recently, it raised $12.0M Series U in February 2024.
Sea Machines Robotics has raised $39.0M in total across 4 funding rounds.
Sea Machines Robotics's investors include Accomplice VC, ENIAC Ventures, Level2 Ventures, Anthemis Group, Audacious Ventures, Boldstart Ventures, Tom Hulme, Hack VC, Intuitive Ventures, Notion Capital, RRE Ventures, Sapphire Ventures.