DeepSea is an umbrella term for the AI software and hardware suite for vessels provided by DeepSea Technologies. Centered on Pythia (voyage optimization) and Cassandra (performance monitoring), and combined with HyperPilot (speed control) and Neuro (onboard data collection), it supports operational decision-making based on indicators such as fuel use, CII, and EU-ETS.
This webpage outlines DeepSea’s key features, main functions, and expected use scenarios.
DeepSea’s Cassandra builds and maintains an AI digital twin for each vessel, continuously collecting and organizing data on fuel-consumption trends, hull fouling, CII score trends, and engine condition. This creates a foundation for tracking changes in operations and performance.
It explains vessel-specific fuel-efficiency characteristics based on data and provides analysis results to anticipate future changes in key figures. These outputs can be used as inputs when considering actions such as hull cleaning, maintenance timing, and reviewing operating patterns.
It is well suited to shipping companies that face significant cost impacts from fuel expenses and emissions regulations (such as EU-ETS), and that prioritize fuel efficiency and emissions management as management metrics.
It also fits companies that want to consider responses for CII ratings while continuously tracking score trends. Cassandra’s data organization and tracking functions provide a foundation for considering an operational framework.
As explored above, the core strengths and focus of each system vary significantly. Finding the right solution starts with assessing your fleet's specific management goals and operational scale. To simplify your choice, we have categorized top-tier vessel management software by company type. Explore our recommendations below to find the ideal fit for your organization.
DeepSea’s functionality can be expanded by integrating with hardware. HyperPilot automatically sends calculated speed commands to the propulsion control system, supporting adherence to the planned speed. Integration is possible in which voyages are planned with Pythia and executed with HyperPilot.
By using Neuro, high-frequency signal collection onboard and cloud integration can be achieved, expanding the scope of data utilization.
Cassandra includes CII tracking, supporting rating tracking and improvement activities. It also includes features that support proper management for EU-ETS (the European Emissions Trading System).
In addition, Cassandra has obtained the certification of Innovation Endorsement for Products & Solutions from Nippon Kaiji Kyokai (ClassNK)*. The related hardware, HyperPilot, has received type approval from DNV.
Detailed price lists are not published on official website or other public sources. Because implementation costs vary depending on the scope of functions used (software only or including hardware) and fleet configuration, the requirements should be clarified when requesting a quote.
One expected use scenario is when it is difficult to identify the drivers behind fuel consumption and arrival delays. By using DeepSea, a company can visualize voyage-by-voyage trends in fuel efficiency and performance and review route and speed recommendations while considering revisions to operating conditions accordingly.
Through this type of operation, a company can expect to gain inputs for managing fuel use and emissions in a more planned manner.
*The above is purely an intended use scenario and does not represent an actual implementation case.
Consultations on implementation and operations can be made via the inquiry form on the official website, as well as through the published email and phone contacts.
Contract terms may include items related to equipment installation and maintenance, and it is indicated that support is also provided for configurations that include hardware deployment. For specific scope of support and conditions, please contact the company via the official website.