India’s port sector has the potential to save up to Rs 20,000 crore annually in cargo handling costs by implementing artificial intelligence (AI). Gourav Vallabh from the Prime Minister’s Economic Advisory Council emphasized the necessity for technological upgrades to reduce inefficiencies and enhance operational speeds in major ports, including Jawaharlal Nehru Port Trust and Chennai.
Saronic is enhancing its Louisiana shipyard by integrating AI-driven welding robotics through a partnership with Path Robotics. This collaboration modernizes American shipbuilding, improving weld quality and production efficiency. By merging skilled labor with intelligent systems, Saronic aims to establish a resilient, scalable production model for the future of maritime manufacturing.
Nagarro and Oceanly have unveiled a maritime intelligence platform that transforms raw vessel data into real-time insights for crews and shore teams. Set to be demonstrated at the World Maritime Forum in Copenhagen, the platform integrates operational data and AI capabilities, enhancing decision-making speed and operational efficiency in the maritime industry.
Recycllux, a Romanian start-up founded by Sorina Uleia in 2021, is innovatively tackling marine plastic waste using AI. With support from BlueInvest, the company empowers local communities to detect and collect plastic debris through satellite imagery analysis. Their approach combines technology and community involvement, promoting sustainable recycling practices across the Mediterranean.
Windward’s Remote Sensing Intelligence (RSI) technology combines satellite imagery, RF detection, and vessel-tracking analytics for enhanced maritime monitoring. Its ability to identify vessels not transmitting AIS signals is vital for maritime security, ensuring compliance with regulations. This innovative solution allows authorities to assess and respond to potential threats effectively.
Saipem has launched the LiSa Hyper Harness, an innovative safety harness equipped with sensors and AI to enhance worker safety during height-related tasks. This device monitors connections to fall protection systems and alerts users and supervisors if issues arise, fostering a culture of safety in hazardous environments.
The “Enhance Vessel AI” project, led by AST Reygar, aims to transform vessel maintenance by using AI to predict issues before they become costly. Launching in September 2025, it collaborates with Seacat Services and others to enhance operational efficiency and reduce emissions, supporting the UK’s sustainable maritime goals.
In response to the complexities of modern maritime operations, Shell Marine is revolutionizing vessel maintenance with its Shell LubeMonitor platform. This system integrates AI and technical expertise, allowing operators to transition from time-based to condition-based maintenance. By consolidating real-time data, it enhances operational efficiency and extends overhaul intervals significantly.
The recent collision between MV Stena Immaculate and MV Solong near Grimsby, UK highlights human error in maritime accidents. To address safety concerns, the industry invests in advanced sensors. SafeNav, a digital co-pilot system, offers real-time guidance on the bridge for collision avoidance. It aims to enhance decision-making and comply with regulations.
