Metis launches a new set of AI-powered capabilities within its Fleet Performance Management platform, introducing maritime-native intelligence designed to help shipowners and operators turn complex operational data into faster, more confident decisions and actions.
The new functionality builds on Metis’s telemetry-first approach, introducing specialised AI agents capable of analysing vessel performance, machinery condition, voyage operations, and emissions exposure. The launch marks a significant step forward in the evolution of fleet management, moving beyond traditional dashboards towards actionable, transparent decision support.
Developed specifically for maritime operations, the AI-powered features are designed to assist fleet managers and technical teams by consolidating operational signals,evaluating vessel conditions, and surfacing clear recommendations with visible confidence levels and supporting data context.
“Shipping has invested heavily in collecting and visualising data over the past decade, but operators are increasingly asking how to shorten the distance between data and action”, said Panos Theodossopoulos, CEO of Metis. “Our new AI-powered capabilities have been developed to address this challenge precisely, while ensuring the transparency and trust that maritime professionals require before acting on AI-driven recommendations”.
The Metis AI framework is built on four core layers: resilient IoT (telemetry) infrastructure, data integrity and validation, fleet performance analytics, and domain-specialist AI agents trained specifically for maritime use cases. This approach ensures that recommendations are grounded in validated operational data and supported by fully transparent reasoning processes.
The platform’s new AI functionality enables users to identify vessel performance issues, assess hull and propulsion efficiency, analyse machinery condition, evaluate emissions exposure, and receive prioritised operational recommendations at the press of a button. Importantly, users have full visibility into data quality, model reasoning, and confidence scoring directly through the platform interface.
The new AI-powered capabilities will be demonstrated at the upcoming Posidonia 2026 exhibition, where visitors will be able to experience first-hand how maritime-native AI can support faster, more transparent operational decision-making.
“Trust in AI is not created at the final recommendation stage; it begins with data quality, contextual understanding, and transparency”, added Panos Theodossopoulos. “We believe maritime AI must be explainable, traceable, and transparent if it is to gain trust and deliver lasting value to the industry”.
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