DeepSea Technologies wins DNV Type Approval for autonomous solution for speed control

13th of June 2024: DeepSea Technologies, the leading maritime AI company and part of the Nabtesco Group, has received Type Approval from leading classification society DNV for their latest product, DeepSea HyperPilot, which automatically and precisely controls the change of speeds across a voyage to achieve fuel savings and empower captains and crews. This is DNV’s first type approval of a system that provides automatic speed adjustment to a propulsion control system.

An easily retrofittable control device, HyperPilot streamlines adherence to officers’ voyage-level route and speed plans by dynamically retrieving the speed command corresponding to the vessel’s current location and automatically feeding it to the propulsion control system. It eliminates the manual process of dynamically adjusting the RPM of the main engine, while enabling speeds to be planned more precisely for optimal operational efficiency. Use of the HyperPilot increases the value vessels can draw from route and speed optimisation solutions, such as DeepSea’s flagship Pythia product, by enabling officers to more closely maintain optimised speeds. Fuel and emissions savings will be boosted, while the user experience will be simplified through automation.

The Type Approval certificate verifies that the HyperPilot solution successfully meets the requirements of the relevant international standards and  DNV’s rules for the Classification of ships. This achievement affirms DeepSea’s commitment to driving the development and adoption of AI-powered optimisation solutions in the maritime industry. 

Full scale trials of the product are expected to commence in Q3 2024, with plans to go to market later in the year.

Dr. Konstantinos Kyriakopoulos, Co-Founder and CEO of DeepSea says:The success of speed optimisation for fuel efficiency depends on the precision with which optimal speeds can be followed. With the implementation of HyperPilot, officers will have more precise and convenient control of their vessels’ routes and speeds, achieving greater efficiency for their owners and charterers. Receiving Type Approval from DNV paves the way for our ongoing development of innovative solutions to deliver efficient and sustainable autonomous vessels.

Jarle Blomhoff, Head of the Digital Ship Systems section at DNV said: “We are very pleased to have worked with DeepSea on this new system and congratulate them for their commitment to demonstrating that their systems rest on a sound technical foundation. Boosting energy efficiency is an essential part of the maritime transition to a more sustainable future and leveraging the potential of autonomous systems to assist the crew onboard is an exciting development for the industry. The complexity introduced by autonomous systems makes it vital to have a framework that can assess the safety performance of these systems – which is why at DNV we are constantly developing rules and guidelines like the Class guideline for autonomous ships that enable our customers to innovate on a basis of well-established trust.

Eastern Pacific Shipping Partners with DeepSea Technologies for Full Fleet Roll-Out of AI Performance Solution

Eastern Pacific Shipping (EPS) has entered into an agreement with DeepSea Technologies to implement a comprehensive fleet-wide deployment of DeepSea’s pioneering Cassandra Performance Monitoring platform. This strategic partnership will deepen EPS’ existing commitment to exploring digital solutions and comes after an extensive trial process on the accuracy of DeepSea’s high-frequency AI performance models.

By leveraging DeepSea’s revolutionary Cassandra system, EPS will monitor its diverse and extensive fleet in real-time, through accurate AI-generated digital twins of vessel machinery. The fleet spans across multiple segments, including bulk, tanker, gas, container, and PCTC vessels. The implementation of this advanced technology will enable EPS to harness high-frequency data across all segments.

EPS is recognised as an industry leader in the adoption of innovative technology in its fleet. Notably, the company is distinguished by its modern and diverse fleet composition equipped with high-frequency sensors. These sensors facilitate the collection of granular data, providing unparalleled insights into fleet performance.

DeepSea Technologies, a trailblazer in the high-frequency data revolution within the shipping industry, brings a wealth of expertise in AI modelling and data aggregation. Since its inception, DeepSea has been dedicated to advancing high-frequency data solutions in maritime operations.

The collaboration between EPS and DeepSea Technologies will equip EPS with precise and detailed modelling and analytics. The Cassandra solution will deliver the most advanced and current understanding of the entire fleet’s performance, enabling EPS to make well-informed and dynamic decisions in real-time. This enhanced decision-making capability will allow EPS to minimise fuel consumption, reduce GHG emissions, and support its decarbonisation goals.

EPS’ Fleet Performance Manager Pavlos Karagiannidis explains, “As we embark on this journey of digital transformation, harnessing the power of DeepSea’s Cassandra platform, we’re not just optimising performance. We are charting a course towards a more sustainable and efficient future for maritime operations.”

DeepSea are very pleased to be working with such an esteemed partner. As outlined by CEO Konstantinos Kyriakopoulos, “We are very excited to start rolling out our solution across EPS’ diverse fleet and look forward to continuing to improve our offerings through the feedback of such a leading player in the industry.

This new partnership signifies a clear mutual initiative in digitalising and decarbonising the shipping industry.

DeepSea Technologies and G2 Ocean roll out groundbreaking AI voyage optimisation tool that does not require hardware installation

DeepSea Technologies and G2 Ocean collaborate with SINTEF, backed by theEEA and Norway Grants 2014 – 2021 in the frame of the Business Innovation Greece Programme, to explore and develop an energy management AI solution for vessel operators using AIS and noon-report data to lower barriers to adoption.

29th of April 2024, Athens: DeepSea Technologies, the award-winning Al-led maritime technology company and energy efficiency experts, today announced the completion of a project supported by the EEA Grants under the “Business Innovation Greece” Programme, to develop an accessible AI solution for vessel performance routing. Working with G2 Ocean, the leading bulk shipping operator, and SINTEF, an independent research organisation, DeepSea has run trials to develop a novel artificial intelligence (AI) software solution which uses AIS and noon report data, together with high-frequency data from other vessels, to unlock voyage optimisation.

Improvements in operational efficiency through optimised navigation help operators to reduce fuel consumption and lower emissions. However, few companies in the shipping industry have the data collection systems in place to support data driven improvements. Together with G2 Ocean and SINTEF, DeepSea has developed an AI-based solution that can use the data available to every ship owner: AIS data and noon reports, to unlock the real benefits of performance routing. This approach is called “transfer learning” and allows high-frequency data models from hundreds of vessels already in DeepSea’s databases, to be transferred over to low-frequency data vessels of the same type and further adapted to available data. 

The new software solution ‘Pythia Augment’ has been applied to the bulker market for the duration of this project, however has widespread applications for all types of vessels as well, and provides route and speed guidance for individual vessels based on AI-generated energy performance modelling. DeepSea and G2 Ocean applied the solution to 5 Grieg Star vessels within the Norwegian company’s fleet, to develop and pilot an AI model with the ability to produce accurate and optimised guidance that has been successfully applied to reduce fuel consumption and achieve the highest possible TCE for any given voyage. The ships used to test the solution provided an ideal training ground for developing the AI application, as the fleet features vessels operating noon reports as well as more modern live data acquisition systems. 

During the project, DeepSea and G2 Ocean collaborated with SINTEF, a leading independent research organisation based in Norway to understand barriers to end-user compliance. Breaking down barriers to the adoption of AI recommendations by the crew is essential. The value of AI-driven optimisation to sustainable shipping operations can only truly be realised if there is high compliance with the recommendations produced.

Dr. Konstantinos Kyriakopoulos, Co-Founder and CEO of DeepSea Technologies commented on the project: “Ship owners need to be taking action now to deliver on the maritime industry’s long-term goal to decarbonise. A mature market for the low-carbon fuels that will drive large scale decarbonisation of marine energy remains some way away. In the meantime, owners and operators should focus on reducing energy consumption through operational efficiencies. With the delivery of Pythia Augment using low-frequency data to optimise voyage planning, we are creating a new and innovative way for bulkers to effectively drive down carbon emissions in their operations.” 

Anne Lise Rognlidalen, Programme Director, Innovation Norway commented: “Through the Business Innovation Greece Programme which supported the Pythia Augment project, we support projects focused on innovation within the focus areas of Blue Growth, Green Industry Innovation, and ICT. We also encourage project collaboration, as well as projects which have a strong environmental impact. We are thus very happy to have supported the Pythia Augment project which was implemented by DeepSea Technologies in collaboration with 2 donor partners, G2 Ocean and SINTEF. In particular, G2 Ocean and DeepSea worked together to support the improved performance of an important part of the Norwegian fleet. As home to the world’s fourth largest merchant fleet, Norway’s ship owners, as forward-thinking leaders in the maritime sector, can have a significant effect on the ongoing decarbonisation of the sector, and its efforts to achieve mandated net-zero targets in 2050.”

Arthur English, CEO of G2 Ocean, further commented: “G2 Ocean is committed to becoming a net-zero emissions company by 2050 and is enthusiastic about the potential benefits AI powered technologies can unlock in our industry. The solution developed by DeepSea enables real time analysis of a range of commercial, technical, and environmental factors resulting in a reduction of emissions as well as optimised earnings. With the wide-scale adoption of green fuels still some way off, it is vital that we grasp the opportunities that are currently economically viable to reduce emissions.”

DeepSea has used two critical AI technologies to unlock voyage optimization based on legacy data: Transfer Learning and Hybrid Modelling. Having access to a fleet with mixed data acquisition systems was paramount to the development of the AI tool.

DeepSea Technologies partners with Ardmore Shipping in driving AI adoption, equipping tanker fleet with deep-learning based voyage optimisation tools

19th of March 2024: DeepSea Technologies, the award-winning maritime AI company and energy efficiency experts, today announced that it is partnering with Ardmore Shipping, a leading owner-operator of chemical and product tankers to implement Pythia, its voyage optimisation tool, across Ardmore’s fleet– enabling AI driven insights that will help the ship owner to meet the goals of its Energy Transition Plan (ETP) while driving business performance.

During the first year of the partnership, which involved a full-scale trial of the technology on Ardmore vessels, DeepSea and Ardmore collaborated to refine a series of algorithms powered by DeepSea’s AI-generated vessel behaviour models, coupled with Ardmore’s extensive historical data. This breakthrough allows an AI approach to be used within the context of tramp trade. Outcomes of this 12-month collaboration saw a promising decrease in fuel consumption and, in turn, emissions.

Ardmore’s ETP guides its approach to increasing efficiency through the trial and implementation of a range of readily available maritime technologies and fitting these together to achieve optimal performance of its fleet. To date, Ardmore has invested in fuel-efficient engines, advanced hull designs, and a vast array of other technologies that optimise fuel consumption and reduce emissions. These technologies will now be complemented by DeepSea’s voyage optimisation services. 

The optimisation of non-liner trade is challenging due to operational obstacles that include uncertain arrival times and frequently-changing destinations. With defined contracts, owners and operators of tramp vessels have historically faced little pressure to adopt technologies to optimise vessel performance. The growth of regulation to support efficiency improvements across the sector as part of shipping’s energy transition means owner operators want better information and guidance to help reduce energy consumption and maintain efficient vessels.

Since its foundation, Ardmore has been one of the first movers in adopting new technologies and was one of the first tanker companies to harness high-frequency data as part of the operation of its vessels. This partnership sees the company expanding this approach, with the introduction of AI-driven insights that are dynamically updated based on the high-frequency data streamed from on-board sensors.

Ha Eun Ruppelt, Ardmore Shipping’s Commercial Project Manager, said: “Through this collaboration with DeepSea, we’re further upgrading and future-proofing our fleet for operation in today’s dynamic tanker market, aligning with our commitment to innovation and sustainability. This evolution aims to further optimise fleet performance, resulting in smarter decision-making. We look forward to developing this partnership further, and exploring how to extract the most value in terms of emissions and fuel savings through the use of DeepSea’s technologies.

Konstantinos Kyriakopoulos, DeepSea’s CEO, said:We’re very excited to be expanding our collaboration with a visionary leader in the tanker space, known for its focus on quality and its successful adoption of new technologies. Together with the Ardmore team, we’ve shown how AI-powered voyage optimisation can be adapted to address the unique challenges of the tanker sector, leveraging hyper-accurate modelling of each vessel’s unique fuel profile to deliver demonstrable reductions in emissions and optimally balance fuel cost and revenue opportunity to increase commercial efficiency.

Deepsea Technologies receives ClassNK Innovation Endorsement for voyage optimization platform, accelerating expansion into Asian market

DeepSea Technologies, the award-winning Al-led maritime technology company and energy efficiency experts, has received the Innovation Endorsement from ClassNK, the world-renowned classification society based in Japan, for its cutting-edge voyage optimization services that form the foundation of the company’s suite of software. 

The Innovation Endorsement (IE) is a certification issued by ClassNK to encourage the proliferation and advancement of technologies. It also aims to collaborate with industry pioneers to establish suitable evaluation criteria for emerging technologies. 

ClassNK verified DeepSea’s software using its rigorous testing processes. The endorsement recognizes Deepsea’s adherence to the highest standards of safety, efficiency, and environmental performance, and certifies the functionality of its services, which harness the latest in AI technology to make ships more efficient.

This milestone positions the company for further growth in the dynamic Asian region, continuing its trajectory following Japan-based automation multinational Nabtesco’s investment in DeepSea in 2023. 

Dr. Konstantinos Kyriakopoulos, CEO at DeepSea Technologies, said: “We are delighted to receive ClassNK approval for our voyage optimization services, as it further validates the robustness and reliability of our technology. This milestone is particularly significant as we set our sights on expanding our footprint in the Asian market. DeepSea’s advanced solutions will contribute to the region’s maritime growth by optimizing operations, reducing costs, and fostering a more sustainable shipping industry. We look forward to continuing to focus our industry-leading team of AI specialists on solving some of the biggest challenges in shipping.”

Mr. Yukihiro Mizutani, President, Marine Control Systems Company, Executive Officer of Nabtesco, said: “DeepSea’s expertise and team of AI specialists are well-known in the shipping industry, and are driving a radical improvement to vessel efficiency for their customers. This endorsement paves the way for the company’s success in the Asian region, and we look forward to continuing our partnership to accelerate the pace of innovation in the industry.”