Maritime crew, fleet, learning and GRC software for ship operators
Ocean Technologies Group sells crew management, fleet operations, e-learning and regulatory compliance software to the maritime sector. Its mixed .NET/WPF and ASP.NET Core stack across SQL Server, MongoDB, AWS and Azure reflects a roll-up of acquired brands, and job posts confirm it: post-merger integration and harmonizing legacy data systems top the pain list while a layered data architecture with Druid and Superset is being built.
Notable leadership hires: Customer Success Lead, Project Director, Data Team Lead
Ocean Technologies Group is a London-headquartered, privately held maritime software group founded in 2020. It serves ship operators and maritime professionals with human capital management tools, including crew management and training, plus operational solutions covering fleet management and governance, risk and compliance. The group was formed from several established maritime e-learning and software brands. It employs 201–500 people, and its hiring footprint spans the United Kingdom, Philippines, Romania, Poland, Malaysia, Germany and Norway.
Its core is Microsoft-centric: C#, .NET, ASP.NET Core, WPF and SQL Server, alongside MongoDB, React, Python, RabbitMQ and GraphQL on AWS and Azure. Analytics runs on Apache Druid, Superset and Power BI.
Hiring spans the United Kingdom, Philippines, Romania, Poland, Malaysia, Germany and Norway, with accelerating velocity led by engineering, product and revenue roles.
Job posts point to the TM Master product, vessel navigation API integration testing, AIS installations, and a data architecture spanning operational, lakehouse, analytical-serving and vector layers.
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Ocean Technologies Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.