Realtime
Engine performance analysis
Live monitoring of main and auxiliary engines reveals deviations early so teams can intervene before risk compounds.
Fleet operational intelligence
AI-powered operational intelligence for modern fleets.
Detect early machinery degradation, improve fuel efficiency, reduce unplanned downtime, and align maintenance planning with decarbonization targets across your fleet.
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Built from real engine-room and vessel operations experience.
Predictive
Signals for condition-based decisions.
Efficient
Fuel and emissions tuned to targets.
Reliable
Lower risk across critical systems.
Operational confidence
Early warnings + actionable recommendations.
Origin story
A team formed by complementary experience, not convenience
FleetMind came together when Radoslaw Babicz and Tomasz Dziki connected their maritime engineering background with enterprise business building and saw a shared gap in how fleets use operational data. As they sought to solve it, Bogumił Kamiński added AI research depth, and Daniel Kaszyński brought data science, predictive modeling, and operational risk expertise grounded in real-world decision environments.
This combination of shipboard reality and advanced analytics made it possible to build state-of-the-art AI algorithms that are proven against operational conditions — not abstract lab assumptions. The team aligned around a single mission: create intelligence that technical managers can trust to reduce unplanned downtime, optimize maintenance, and support decarbonization goals.
Why FleetMind exists
- The founders recognized a real industry need: operational signals were available but not actionable for decision-makers.
- Maritime engineering, enterprise execution, AI research, and risk modeling were all required to solve it properly — and the team had all four.
- Their shared mission turned complementary strengths into a platform built for real vessels, real crews, and real constraints.
Core capabilities
Operational intelligence for engine room realities
FleetMind combines real vessel data with AI-driven models to surface actionable insights for shipowners and operators. The result is earlier intervention, lower operational risk, and higher reliability across fleets.
Built for real vessels & crews
Decision-ready intelligence
Enterprise-grade reliability
Thermal
Thermal balance monitoring
Detects heat distribution shifts across critical systems to safeguard reliability and prevent energy losses.
Turbo
Turbocharger behavior insights
Tracks boost efficiency, pressure trends, and response curves to keep propulsion optimized.
Efficiency
Fuel efficiency trend tracking
Reveals consumption patterns and drift to reduce fuel burn and support decarbonization goals.
Detect
Anomaly detection
AI models flag deviations from normal operating envelopes to prevent unplanned downtime.
Maintain
Predictive maintenance support
Translates sensor patterns into maintenance windows that minimize disruption and lifecycle cost.
Actionable operational intelligence
Reports and alerts engineered for technical managers, enabling faster decisions with clear operational tradeoffs.
Earlier intervention → Lower risk → Higher reliability
Operational intelligence in action
Operational impact
Quantified outcomes for fleet performance
Each pillar represents a measurable business outcome that FleetMind is designed to deliver across modern maritime operations.
Reduced unplanned downtime
Early detection and condition analytics prevent off-hire events and stabilize schedules.
Optimized fuel consumption
AI-driven insights identify inefficiencies and align operations with fuel-saving best practices.
Extended equipment lifecycle
Condition-based maintenance reduces wear and protects mission-critical machinery.
Improved maintenance planning
Forecasting tools align spares, labor, and drydock windows with real asset needs.
Lower operational risk
Visibility into asset health supports safe operations and better decision-making.
Decarbonization support
Operational intelligence aligns fleets with emissions targets and reporting standards.
Why FleetMind
Operational intelligence built by people who run ships, scale software, and model reliability
FleetMind combines three disciplines that rarely sit at the same table: maritime engineering and vessel operations, enterprise-grade software architecture, and AI-driven predictive analytics. That cross-disciplinary foundation lets us translate engine room realities into data models that actually fit operational workflows.
The result is a practical bridge between ship operations and artificial intelligence — a platform designed for maintenance planning, fuel optimization, and reliability decisions that matter on board and on shore.
Maritime engineering & operations
Built with the judgment and context of technical managers, chief engineers, and fleet operations teams.
Enterprise software architecture
Secure, scalable infrastructure that integrates with existing fleet systems and reporting stacks.
Predictive intelligence
AI models tuned for machinery reliability, fuel efficiency, and decarbonization targets.
We are not building AI for presentations — we are building operational intelligence for real vessels, real crews, and real-world conditions.
That focus keeps FleetMind grounded in safety, uptime, and the operational constraints that define modern maritime performance.
Operational intelligence for modern fleets
Try FleetMind software today
Experience live operational intelligence built for real-world fleet decisions.
Explore the FleetMind software environment to see how predictive insights, machinery performance signals, and fuel efficiency drivers appear in practice.
Leadership
Executive operators and AI architects delivering measurable fleet outcomes.
FleetMind combines deep maritime operations, enterprise delivery, and advanced analytics leadership. Our team has led engine room performance programs, large-scale enterprise deployments, and AI research agendas — translating complex data into reliable, real-world decisions for fleets.
Leadership foundation
Maritime · AI · EnterprisePurpose-built leadership for operational intelligence — focused on reliability, fuel performance, and predictive maintenance that crews and technical managers can trust on day one.
Ops
AI
Delivery
Chief Executive
Radoslaw Babicz
CEO · Chief Engineer
An Engineer with over a decade in maritime operations, including Staff Chief Engineer and Dry Dock Project Supervisor roles. Led engineering programs for National Geographic-Lindblad Expeditions and Carnival UK with deep expertise in propulsion systems, reliability engineering, and fleet performance optimization.
Mission: move fleets from reactive maintenance to intelligent, data-driven decisions.
Commercial Leadership
Tomasz Dziki
VP, Business Development & AI Engineering
Entrepreneur with 25+ years in technology and business, and co-owner of Britenet, one of Central Europe’s leading IT services firms. Drives commercial validation, partnerships, financing strategy, and coordinated execution across the founding team.
Focus: scalable partnerships and proven enterprise delivery.
AI & Research
Bogumił Kamiński
VP, Data & AI Engineering
Director of the AI Lab at SGH Warsaw School of Economics and Chairman of the Statistics and Econometrics Committee at the Polish Academy of Sciences. Internationally recognized in AI and operations research with 25+ years delivering enterprise analytics programs.
Expertise: advanced analytics architecture and operational research.
Risk & Modeling
Daniel Kaszyński
VP, Data & AI Engineering
General Director of DS360, a data science company, and an analytical modeling consultant with 10+ years guiding major global banks through advanced algorithm and risk model implementations. Lecturer at SGH specializing in quantitative modeling, data analytics, and operational risk assessment.
Focus: rigorous model validation and decision-grade insights.
FleetMind FAQ
Practical answers for operational decision-makers
Built from real engine-room experience, FleetMind focuses on measurable operational outcomes: reliability, fuel performance, and risk reduction.
Need a technical walkthrough?
We can map FleetMind to your vessel types, data sources, and maintenance cadence.
Contact FleetMindContact FleetMind
Deploy predictive operational intelligence across your fleet
Speak directly with FleetMind engineers about reliability targets, fuel efficiency gains, maintenance planning, and decarbonization priorities. We tailor deployments to real vessel conditions, machinery constraints, and crew workflows.
Operational focus
Reduce unplanned downtime and stabilize machinery performance with actionable predictive signals.
Efficiency gains
Optimize fuel consumption, plan maintenance windows, and extend equipment lifecycle.
Decarbonization ready
Support emissions reduction targets with verified operational insights and reporting.
Future-ready platform
Built for maritime fleets today, adaptable to aviation and wind operations tomorrow.
Request a fleet intelligence consultation
Tell us about your fleet scale, priorities, and operational challenges. We will respond within one business day.