Whitepapers | Raa Labs

Whitepaper

Reliable vessel data at fleet scale

This white paper tells the story of how Eastern Pacific Shipping, one of the world's largest ship owners, moved from data-rich to data-ready across a fleet of more than 350 vessels. Working with Raa Labs, EPS built a unified vessel data foundation that standardises fleet data, monitors its health continuously, and delivers it through structured APIs and a conversational MCP to interact with the data through LLMs and AI chatbots. Readers come away with a clear example of how treating vessel data as governed infrastructure, not fragmented telemetry, can unlock performance, sustainability, and AI at fleet scale.

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Future proofing your EDGE

This white paper serves as a practical procurement guide for maritime professionals evaluating onboard IoT Edge solutions. Building on Raa Labs' earlier white papers on vessel data strategy and maritime digitalization, it outlines the key criteria for selecting an Edge platform that meets both current and future needs. Readers come away better equipped to write RFIs and RFPs, run structured vendor assessments, and ask the right questions — with the goal of making a future-proof technology choice that supports long-term data-driven leadership.

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Succeeding with maritime digitalization

This white paper is aimed at maritime executives and operators navigating digital transformation. It argues that digitalization is now a strategic necessity — not just for efficiency, but to meet environmental targets. Success depends on strong top-management commitment, a clear vessel data strategy, and a dedicated transformation team. The paper also stresses the importance of understanding the full technology stack — from onboard sensors to cloud infrastructure — and building a solid digital foundation that enables long-term, sustainable innovation.

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Crafting a successful vessel data strategy

This white paper guides shipping industry decision-makers on building a successful vessel data strategy. It argues that companies must adopt a holistic approach to data management — anchored by a modern IoT Edge platform — to ensure data quality, standardization, and system compatibility. Key recommendations include separating data layers, using dedicated cloud storage, and focusing on the application layer to extract business value. Companies that follow these principles can optimize operations, improve crew performance, and stay competitive in a rapidly changing industry.

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