Pythia Light: A collaborative pathway towards decarbonizing Shipping operations through AI-voyage optimisation
DeepSea Technologies M.I.K.E ·Greece
About this project
<p><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="font-size: 9pt"><span style="font-family: "Verdana", sans-serif"><span style="color: #000000">The R&D project consists in the development of an innovative AI driven software solution to optimise vessels’ voyages for bulk carriers, based on low-frequency vessel data to decrease fuel consumption and emissions. </span></span></span></span></span><span style="color: #000000; font-family: Verdana, sans-serif; font-size: 9pt">It will comprise of a cloud software platform relating to voyage optimisation, by way of suggested voyage routes taking into consideration weather forecasts, the vessel's specifications, and the results of artificial intelligence algorithms and accepting low-frequency data (noon- reports generated by the vessel's crew and AIS data) utilising it to provide optimised voyage planning, as well as voyage monitoring and post voyage reporting. </span><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="font-size: 9pt"><span style="font-family: "Verdana", sans-serif"><span style="color: #000000">The project aims to make tangible steps towards the ambitious decarbonization goals set for the shipping industry. </span></span></span></span></span><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="font-size: 9pt"><span style="font-family: "Verdana", sans-serif"><span style="color: #000000">The promoter will collaborate with 2 partners from Norway, one research institute (SINTEF) and one commercial partner (G2Ocean), in order to bring to the market a well-rounded and tested product, ready for adoption. </span></span></span></span></span><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="font-size: 9pt"><span style="font-family: "Verdana", sans-serif"><span style="color: #000000">The project will lead to an increase in the profitability of the company, as well as contribute to obtaining a distinct competitive advantage.</span></span></span></span></span></p>
Bilateral cooperation results
This was a very good partnership project as both donor partners contributed to the successful implementation of the project. In addition, the project led to the increase and sharing of knowledge between entities, towards a common result. SINTEF, a leading independent research organisation, identified the needs of users and carried out a detailed mapping of the process of adoption of the technology; it investigated what could prevent AI solutions to be implemented in the shipping industry. Breaking down barriers to the adoption of AI recommendations by the crew is essential, as the value of AI-driven optimisation to sustainable shipping operations can only truly be realised if there is high compliance with the recommendations produced. With this project, Sintef will gain knowledge about the process of AI-based applications in the maritime sector. G2Ocean, the leading bulk shipping operator, tested the solution on its fleet; it provided the vessels' datasets and identified users' requirements. G2Ocean will also be the first client of the developed solution (so the partnership will continue beyond this project). Prior to this project, DeepSea was trying to contact Sintef in order to collaborate. This project provided an opportunity to cooperate, and it seems that this cooperation could continue in the future.
Project partners
- SINTEF AS Donor project partner· Norway
- G2 OCEAN AS Donor project partner· Norway