Lomar Shipping is stepping into the future of maritime safety with a bold pilot program set for 2026. The London-based shipowner is teaming up with Signal Fusion to deploy AI-powered data analytics that will monitor, analyse, and predict crew behaviour and decision-making. The goal? To enhance safety by understanding and supporting the humans at the helm.
This isn’t just about tracking data—it’s about translating it into actionable insights. Signal Fusion’s platform digs into how teams communicate, decide, and recover during real tasks, grounding every insight in an audible snippet. This means Lomar can identify patterns, predict potential risks, and intervene before issues escalate.
“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.”
The collaboration between Lomar’s venture catalyst, lomarlabs, and Signal Fusion aims to embed human-readiness intelligence into daily operational decision-making. Signal’s readiness, resilience, and risk-intelligence platform uses analytics to translate concise narrative assessments into decision-ready insights. This means every piece of intelligence comes with a clear evidence trace and human-in-the-loop review, turning operational behaviour into an auditable signal.
“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.”
The shipping industry operates under tight schedules, pressured crews, and increasing regulations. In this environment, small shifts in human behaviour can significantly impact decision-making and 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,” said lomarlabs managing director Stylianos Papageorgiou. He expects Signal’s data analytics to help “to close that gap”.
By delivering clear, data-driven insights into crew safety and performance, this AI analytics tool aims to enhance safety and strengthen support for crews without adding an operational burden. This pilot could set a new standard for maritime safety, proving that technology and human-centric approaches can work hand in hand to navigate the challenges of modern shipping.