AI-powered autonomous navigation systems for inland shipping
Shipping Technology builds AI applications for Dutch inland waterways, centered on ST BRAIN—a foundational system driving toward semi-autonomous vessel control. The stack (Python, TensorFlow, scikit-learn, GCP, Azure) reflects a machine-learning-first approach; active projects span ship behavior modeling, fuel prediction, and autonomous product deployment. With 4 engineers, 1 ops, and 1 sales hire, the org is engineering-heavy and early-stage, facing hardware-software integration and real-time fleet data challenges typical of hardware-AI startups moving from lab to field.
Shipping Technology develops autonomous navigation and AI systems for inland shipping operators in the Netherlands. The company was founded in 2018 and operates from Rotterdam with 11–50 employees. The core product, ST BRAIN, serves as a platform for applications including lane-assist and autonomous sailing features. Current work centers on ship behavior modeling, fuel consumption forecasting, and expanding the installed base across new and existing vessels. The business targets crew efficiency and sustainability outcomes for shipowners and operators.
Python, TensorFlow, scikit-learn, SQL, Docker, Git, GCP, and Azure. Microsoft Office and Google Workspace for productivity; HubSpot for sales operations.
Autonomous sailing product development, ship behavior modeling, fuel consumption prediction, hardware-software integration on vessels, ST BRAIN installed base expansion, and commercial strategy implementation.
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