Maritime predictive intelligence company Windward has announced the release of an updated version of its system, consisting of 10 billion datapoints and 300 behavioural analysis models and powered by a new generation Maritime Artificial Intelligence Analytics (MAIA) application.
Used to monitor sanctions compliance and business risk, MAIA screens, searches and analyses dynamic maritime data to look for connections and discover potential risks and questionable behaviour.
By continuously applying the software’s behavioural analysis models, Windward says that the system can provide dynamic predictive intelligence based on vessel identity, cargo visibility, true location, voyage patterns, and other parameters. MAIA then links this knowledge into patterns and profiles to create new information for users.
“We are excited to usher in the era of Maritime 4.0, the next evolution of maritime intelligence empowering all stakeholders in the ecosystem,” said Ami Daniel, CEO of Windward.
“Risk management lies at the core of any business operation, and maritime is no exception. With our predictive intelligence solution, we are giving authorities, banks, insurers, shipping companies, and others the most comprehensive view of maritime risk and enabling the highest level of accountability and transparency.”
Voyage Irregularities is one of the new features introduced in the latest version, used to detect inconsistencies and behavioural anomalies in vessel information, including the vessel’s age, ship to ship transfers, course deviations, transmission gaps, and flag hopping.