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Lomar tests AI-powered analytics to predict crew behaviour
A London, UK-headquartered shipowner plans to trial the use of data analytics to predict the behaviour of seafarers when making onboard decisions that could affect vessel safety
Lomar Shipping will pilot digital technology on its vessels in 2026 to monitor, analyse and predict crew behaviour and decision-making to improve safety.
Its venture catalyst, lomarlabs, will work with a digital technology provider to deploy data analytics powered by artificial intelligence (AI) to determine whether seafarers make the correct operational decisions.
Intelligence from the digital assessments into decision-readiness will provide Lomar with insights for staffing, training and safety.
“This technology offers a valuable and innovative AI platform to enhance our safety management systems and support our seafarers in daily operations by removing unnecessary stresses that can lead to simple and, potentially, costly mistakes,” said Lomar Shipping chief executive Nicholas Georgiou.
“It promises to be a vital add-on that can improve safety and minimise risk in real-time operations, resulting in fewer incidents and near-misses.”
lomarlabs and Signal Fusion are collaborating to trial predictive operational behaviour intelligence on ships. Their 2026 pilot aims to demonstrate how human-readiness intelligence can be embedded into daily operational decision-making to strengthen safety before risks escalate.
Signal’s readiness, resilience and risk-intelligence platform uses analytics to translate concise narrative assessments into decision-ready insights.
“Our AI analyses how teams communicate, decide, and recover during real tasks, grounding every insight in an audible snippet,” said Signal Fusion founder and chief executive Maria Kolitsida.
“Human performance is the strongest predictor of operational risk,” she said. “Working with lomarlabs and Lomar gives us the opportunity to show how behavioural intelligence can strengthen readiness and safety while keeping people at the centre of operations.”
Every insight includes a clear evidence trace and human-in-the-loop review, turning operational behaviour into an auditable signal that can be used for measurable insights.
“By delivering clear, data-driven insights into crew safety and performance, [AI analytics] help enhance safety and strengthen support for crews without adding an operational burden,” said lomarlabs managing director Stylianos Papageorgiou.
Shipping runs on tight schedules, with pressured crews and increasing regulations, and in this environment, small shifts in human behaviour can have a significant impact on decision-making that can affect or risk safety.
“The shipping industry is rich with stories of how seafaring once felt glamorous and rewarding, yet today it’s often associated with stress, procedural paperwork, and compliance checklists, leaving many on board feeling disconnected from their managers ashore,” Mr Papageorgiou explained.
He expects Signal’s data analytics to help “to close that gap”.
Riviera’s International Chemical and Product Tanker Conference will be held in London on 21-22 April 2026. Use this link for more information and to register for the event.
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