Remontowa Shiprepair Yard Uses MLNative's Ship Spec Reader NLP Tool to Cut Specification Processing Time 80%

Remontowa, the Gdańsk ship repair yard, cut the time it spends processing ship repair specifications by 80% after adopting Ship Spec Reader, an AI application built and deployed by Polish software company MLNative, according to MLNative's June 2025 case study. The figure is the vendor's and comes without a stated baseline or sample. Ship repair specifications are long, detailed documents that carry the data needed for project planning, cost estimates and material procurement. Remontowa's teams used to extract this information by hand, which took a great deal of time, introduced errors and delayed the start of repair projects. Ship Spec Reader uses natural language processing and machine learning to read unstructured specification documents and identify, extract and organize key items such as material requirements, task descriptions, dimensions and compliance details into structured data for the yard's planning teams. MLNative says the automation reduced manual errors, gave planners more precise data for budgeting and execution, let repair projects start sooner and freed staff for higher-value work. The case study does not name the models used or describe how the tool is integrated with the yard's other systems.