Insights

Slow steaming, weather routing and fuel curve analysis have become standard practice across the global fleet, and as a result, the most easily attainable efficiency gains are largely captured. This insight explains why advisory-only tools are now hitting diminishing returns, and why the next stage of efficiency depends less on better calculations and more on consistent execution.

Closing the Execution Gap with Smarter Propulsion Control The maritime industry has made major advances in voyage optimisation, yet a persistent challenge remains: turning recommendations into consistent onboard execution. Many operators have access to sophisticated routing, speed planning, and performance tools, but real-world conditions, crew workload, and operational pressures often prevent vessels from maintaining optimal performance throughout a voyage. Why Optimisation

We surveyed maritime operators across the industry and uncovered the fact that optimisation is widely adopted at the planning level, but only 21% believe it is well understood. This insight shares the survey’s key findings, including which factors operators identify as the biggest constraint on optimisation performance, and why automation is gaining ground despite limited familiarity with it.

Why optimised voyages don't always deliver: the Maritime Execution Gap

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 easi

Ask yourself one question: do you understand your vessels’ performance accurately enough to really optimise anything? Shipping is still a world of ‘low definition’. According to our survey: Most shipping companies understand their vessels’ behaviour only “quite well” Most shipping companies have only “somewhat accurate” fuel consumption predictions Most shipping companies do not/cannot reassess voyage plans regularly, despite the constantly changing reality There is still a l

From bunker savings to regulatory compliance and chartering competitiveness, vessel performance now sits at the centre of commercial strategy. But traditional performance monitoring methods offer only snapshots of reality. Machine Learning enables a continuous, data-driven view of vessel efficiency, unlocking smarter decisions across the entire lifecycle.

Optimisation can drive a huge, rapid impact in shipping companies. Most operators can decrease fuel consumption by at least 10% through operational optimisation alone. But this can't be done without a hyper-accurate understanding of how each vessel behaves. The key to successful optimisation Following a transformative 6-month project with Eastern Pacific Shipping (EPS) we're pleased to announce a new 'gold standard' for vessel behaviour modelling, having delivered weekly fue

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 easi

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 monit

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

9th 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

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 optimisation 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 c

Will shipping actually hit net-zero by 2050? And what about -20% emissions by 2030? Will EU ETS be a success or a failure, and is the IMO doing a good job? These were the questions we put to our expert panel of shipowners and energy experts during our shipping event at COP28. DeepSea’s CEO Konstantinos was joined by: Andreas Enger, CEO of Höegh Autoliners; Katerina Bodouroglou, MD of STEM Shipping; Stamatis Tsantanis, CEO of Seanergy Maritime; and Vassilis Triantafyllos, Ene

Greek Prime Minister meets with CEO of automation giant Nabtesco following Groundbreaking Investment in Greek AI company DeepSea Technologies ATHENS, GREECE – September 5, 2023 – A delegation from the Nabtesco corporation, one of the world’s leading robotics and motion control companies, met with Greek Prime Minister Mitsotakis and other senior officials on the 5th September 2023, following the company’s acquisition of Greek AI specialist DeepSea Technologies in July this yea

As the shipping industry grapples with the challenges of rapid digitalisation, it’s more important than ever that we strive for ever greater accuracy, robustness and transparency when it comes to new technology. This year it was an expert team from IBM Research in Dublin that won the Shifts Challenge 2023, presenting a strong approach to modelling vessel behaviour using AI. In this interview with Shivani Tomar, Pre-Doc AI Researcher at IBM Research, we delve into the team’s j

NABTESCO BECOMES THE PRIMARY SHAREHOLDER IN DEEPSEA TECHNOLOGIES, MARKING FURTHER PROGRESS TOWARDS AUTONOMOUS VESSEL DEVELOPMENT 18/07/23; 0700 UTC Japan-based automation multinational Nabtesco has made a major investment in the future of AI for shipping, becoming the primary shareholder in Greece-headquartered AI optimisation company DeepSea Technologies. DeepSea will continue its growth within the maritime industry while becoming a centre of excellence for AI research and p

DeepSea Technologies, the award-winning Al-led maritime technology company and energy efficiency experts, has announced that it is making a full vessel data set and DeepSea’s automatic model evaluation tool available for free to the shipping industry for the next 12 months. This is the first time that such tools have ever been made available to the public – and allows innovation, research and technical departments with strong data science capabilities to start exploring AI. T

A Q&A with DeepSea’s Director of AI Research, Antonis Nikitakis Q: What is your most exciting piece of AI research at the moment ? Explainability is critical for building trust in AI systems. Therefore, our most exciting AI research currently involves researching methods that improve models’ explainability – to enable ever-greater trust to be built amongst stakeholders. AI can be seen as a “black box” whose input and operations may not be transparent and understandable to ou

Ask yourself one question: do you understand your vessels’ performance accurately enough to really optimise anything? Shipping is still a world of ‘low definition’. According to our survey: Most shipping companies understand their vessels’ behaviour only “quite well” Most shipping companies have only “somewhat accurate” fuel consumption predictions Most shipping companies do not/cannot reassess voyage plans regularly, despite the constantly changing reality There is still a l