Noon report AI analysis system introduced

Maritime technology firm DeepSea Technologies has launched Cassandra Light, an artificial intelligence platform used to deliver vessel performance insights based on noon report data.

Cassandra Light monitors and visualises CO2 emissions and notifies users of fuel over-consumption based on vessel noon report data. The platform also provides AI-based performance insights to present a centralised overview of key vessel metrics.

This includes alerts that detect performance anomalies and critical events that may need further investigation. Full fleet monitoring and assessment can be carried out for benchmarking of assets against the global fleet, using AI to validate reported consumption figures.

“Cassandra Light is an industry-first platform that makes, for the first time, cutting edge technology accessible to everyone, becoming the perfect ally for charterers and ship owners at all stages of digitalisation, supporting their journey to performance transparency, maximised profitability and decarbonisation,” said Roberto Coustas, Co-Founder and CEO of DeepSea Technologies.

“By accurately capturing the wide range of variables that impact vessel performance, Cassandra Light offers the opportunity to see these elements in a new light that enables critical business decisions to be made with greater confidence.”

“The implications of a product such as Cassandra Light stretch far beyond individual vessels and fleets, with the potential to redesign fundamental relationships, unlock competitive and societal benefits, radically transform the industry and be game-changing from an investment and a chartering perspective.”

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Rob O'Dwyer
Rob O'Dwyer

Rob is Chief Network Officer and one of the founders of Smart Maritime Network. He also serves as Chairman of the Smart Maritime Council. Rob has worked in the maritime technology sector since 2005, managing editorial for a range of leading publications in the transport and logistics sector. Get in touch by email by clicking here, or on LinkedIn by clicking here.

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