Summary
- Profile Type
- Technology offer
- POD Reference
- TOGB20250701004
- Term of Validity
- 1 July 2025 - 1 July 2026
- Company's Country
- United Kingdom
- Type of partnership
- Commercial agreement with technical assistance
- Targeted Countries
- All countries
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General information
- Short Summary
- A UK-based global leader in ocean data services offers a pilot program for its innovative AI Digital Twin technology designed to significantly enhance maritime vessel performance and fuel efficiency through advanced analytics and predictive modelling. The company seeks a partner for a collaborative pilot under a commercial agreement with technical assistance.
- Full Description
-
A leading global SME based in the United Kingdom is dedicated to revolutionising maritime operations through comprehensive ocean data services. Specialising in historic voyage analysis and optimum voyage routing, the entity provides ultra-detailed and data-rich services leveraging cutting-edge AI and hyper-accurate data. With significant maritime expertise combined with advanced technological skills, they empower shipowners, operators, and charterers to make smarter operational decisions.
Their expertise lies in their ability to collect, analyse, and deliver unparalleled data, painting a vivid picture of vessel performance in any seaway. Their AI-powered digital twin technology creates a living, learning model of a vessel by combining physics-based simulations with advanced AI and real operational data. This results in highly accurate vessel performance analysis and the ability to predict and optimise routes for enhanced efficiency and reduced fuel consumption.
The innovation is a sophisticated AI-powered digital twin technology, creating a dynamic virtual replica of a maritime vessel to revolutionise its operation. This technology addresses inherent inefficiencies and uncertainties in maritime transport by integrating artificial intelligence and physics-based simulations with real operational voyage data. The result is a living, learning model for each vessel.
This technology delivers actionable intelligence that enables more informed decision-making, leading to substantial fuel and cost savings, enhanced vessel safety, and improved compliance with environmental regulations. It offers detailed insights into vessel performance metrics, fuel consumption patterns, and environmental impact, thereby supporting adherence to regulations such as European Union Emissions Trading System (EU ETS) and Carbon Intensity Indicator (CII). Furthermore, post-voyage analytics help to refine future operational strategies for continuous improvement. The core aim of this AI Digital Twin is to optimise vessel routes, provide a deep understanding of vessel capabilities across various conditions, and minimise environmental impact, offering a comprehensive solution to the evolving challenges of the modern maritime industry.
The ideal partner is a maritime organisation focused on efficient, safe, and environmentally responsible operations. This includes ship owners and operators seeking to reduce fuel consumption and costs through optimised voyage routing (OVR). Charterers who are sensitive to fuel expenses and voyage times will benefit from Historical Voyage Analysis (HVA) insights for better planning. The ideal client values data-driven decisions and proactive risk management. They are also committed to environmental sustainability and regulatory compliance, using the technology's insights into emissions. Ultimately, they are forward-thinking entities ready to adopt innovative AI solutions for competitive advantage through smarter voyages. Partnerships are sought under commercial agreement with technical assistance. - Advantages and Innovations
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This innovative AI Digital Twin technology offers significant advantages for maritime operations. Unlike basic weather routing, it provides AI-powered performance optimisation, analysing vast data for the safest, most cost-effective routes tailored to each voyage. This results in tangible fuel and cost savings and minimised emissions. The system moves beyond reactive measures, proactively anticipating conditions to prevent delays.
Key features of this innovation include:
• Optimum voyage routing (OVR): This feature uses AI-driven route optimisation to determine the safest and most cost-effective routes for vessels. It proactively anticipates shifts in weather conditions to maximise overall voyage efficiency and significantly reduce fuel consumption.
• Historical voyage analysis (HVA): By analysing data from past voyages, including noon reports, Automatic identification system (AIS) data, and weather information, the technology identifies operational patterns and trends. This process creates a unique “digital fingerprint” for each vessel, providing valuable insights into its performance and supporting operational improvements.
A key advantage is unparalleled data accuracy, processing billions of data points for precise routing. This leads to data-driven decision making, offering tailored strategies unlike generic forecasts. Increased safety and reliability are achieved by avoiding unnecessary weather risks. Post-voyage analytics deliver actionable insights for continuous improvement. The system seamlessly integrates diverse data, creating a vessel’s digital fingerprint for deeper performance understanding. Its state-of-the-art performance curves, built on big data, reveal vessel capabilities in any seaway.
Furthermore, it offers automatic good weather calculation and comprehensive emissions reporting, ensuring regulatory compliance. This holistic approach delivers maximised voyage efficiency by considering all operational factors. - Stage of Development
- Available for demonstration
- Sustainable Development Goals
- Goal 12: Responsible Consumption and Production
- Goal 13: Climate Action
- Goal 9: Industry, Innovation and Infrastructure
- IPR status
- Secret know-how
Partner Sought
- Expected Role of a Partner
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The ideal partner will operate in the following target sectors within the maritime industry:
• Companies with expertise in voyage management software
• Organisations specialising in maritime data analytics
• Firms offering fleet management solutions
The partner should have a significant network of ship operators, charterers, or owners.
The Role/tasks to be performed by the partner for the AI Digital Twin technology would be:
• Integration of the AI Digital Twin technology: The partner would work to integrate the AI Digital Twin technology, potentially including optimum voyage routing (OVR) and historical voyage analysis (HVA), into their existing systems or service offerings. This might involve technical collaboration to ensure compatibility and seamless operation.
• Evaluation within a pilot program: As mentioned previously, the partner is expected to integrate and evaluate the technology within a pilot program. This would involve using the AI Digital Twin on a subset of their operations or with a segment of their clients.
• Provision of real-world operational data: To effectively evaluate and refine the AI Digital Twin, the partner would likely need to provide access to their maritime operational data. This data would be crucial for validating the technology's accuracy and impact in real-world scenarios.
• Testing and feedback: A key task for the partner would be to thoroughly test the functionality and benefits of the AI Digital Twin. This includes assessing its impact on fuel consumption, route optimisation, safety, and overall voyage efficiency. Subsequently, they would be expected to provide valuable feedback and insights on their experience, helping to refine the technology and ensure successful integration.
• Leveraging their network: Given the desire for a partner with a strong network of ship operators, charterers, or owners, a role for the partner would be to potentially introduce the AI Digital Twin technology to their network as part of the pilot program or upon successful evaluation.
The partner’s role would essentially be that of an early adopter and collaborator, playing a crucial part in validating and potentially scaling the AI Digital Twin technology within the maritime industry.
The desired outcome of the partnership is likely two-fold:
• For the partner, it is to enhance their service offerings by integrating an innovative technology like the AI Digital Twin, potentially providing them with a competitive advantage and new value propositions for their clients.
• For the AI Digital Twin technology provider, the desired outcome is to gain a strong, established partner within the maritime sector who can facilitate real-world testing, provide valuable feedback for refinement, and potentially act as a channel for wider adoption within their network. - Type and Size of Partner
- SME <=10
- SME 11-49
- SME 50 - 249
- Big company
- Type of partnership
- Commercial agreement with technical assistance
Dissemination
- Technology keywords
- 01003003 - Artificial Intelligence (AI)
- 02009007 - Artificial intelligence applications for cars and transport
- 09001009 - Sensor Technology related to measurements
- Market keywords
- 09001007 - Other transportation
- 02007014 - Other industry specific software
- 08002001 - Energy management
- Sector Groups Involved
- Digital
- Maritime Industries and Services
- Targeted countries
- All countries