Maritime voyage management software and technology firm Dataloy and US technology partner for decarbonization of the ocean supply chain Nautilus Labs, have teamed up to offer a unified maritime decision-making platform.
The integration will leverage Dataloy’s robust API infrastructure, allowing Nautilus Labs to ingest vital maritime data — from noon reports and commercial specifics to pertinent environmental metrics.
In accordance with the partners joint statement, using this source of data, Nautilus Labs’ advanced machine learning solutions are able to provide owners and operators with a precise understanding, and simulation of vessel performance, helping them make the right decisions.
This new ecosystem streamlines data transfer, fortifies data resources, and reshapes owner-charterer interactions through insightful, machine learning-derived analytics.
According to partners Dataloy and Nautilus Labs, clients gain access to tools for optimized operations, and reduced operational costs, whilst the seamless integration ensures a comprehensive perspective on vessel performance and removes the need for repetitive data submissions, improving operational efficiency.
In a post in the social media, Dataloy highlighted the fact that “due to our robust API, data flows seamlessly, unlocking unmatched vessel insights, boosting operational excellence, and delivering tangible cost savings.”
Jan Wilhelmsson, chief digital officer and managing director, UK, at Nautilus Labs, noted: “By seamlessly integrating data through Dataloy, we empower ship owners and operators to harness the power of actionable insights. With this unified approach, our clients are equipped to simulate vessel and fleet performance to make better decisions on their path to future-proofing their business in terms of commercial advantages and decarbonization.”
Erik Fritz Loy, chief executive of Dataloy, pointed out that “Maritime operations in today’s fast-paced world demand agility and foresight. By integrating with Nautilus Labs, we’re not only streamlining data workflows but also offering actionable insights that can markedly elevate operational efficiency.”
