Have you thought of what your "green" vessel might look like?
AI-driven platform for monitoring ship performance, predicting maintenance and reducing CO2 emissions
Using AI we determine the most fuel-efficient speeds and engine settings
ensuring compliance with international standards like CII / EEOI
Environmental, emissions
decarbonisation services
decarbonisation services
Initial study on effect of application of new regulations to particular vessel
Assessment on the optimal way of compliance achievement
Project management for engineering solutions to improved emission
Assessment on the optimal way of compliance achievement
Project management for engineering solutions to improved emission
Any doubts?
Let us solve your concerns!
Let us solve your concerns!
Our startup "SmartShipAI" leverages cutting-edge AI and machine learning innovation technology to assess a vessel’s technical condition and performance by analyzing data from onboard sensors. This innovation aims to reduce CO2 emissions, enhance crew safety, ensure timely cargo delivery, minimize port downtime and lower repair costs. Our solution focuses on monitoring and diagnosing critical ship components like the engine, hull, and propeller, even in changing weather and sea conditions.
Real-time CO₂ emissions tracking aids compliance with regulations
EU ETS and FuelEU Maritime
Environmental, emissions
decarbonisation services
decarbonisation services
Initial study on effect of application
of new regulations to particular vessel
Assessment on the optimal way
of compliance achievement
Project management for selected
engineering solutions
of new regulations to particular vessel
Assessment on the optimal way
of compliance achievement
Project management for selected
engineering solutions
Let us assist you in finding the right path
and more ...
Predictive maintenance & Drydocking
Supervised learning models for predictive maintenance
The adaptive learning algorithm
Unsupervised learning models (K-means) to detect hidden patterns and anomalies
Reinforcement Learning (RL) to optimize ship operations
Assessment and supply of all needed spares and services
Final reporting
The adaptive learning algorithm
Unsupervised learning models (K-means) to detect hidden patterns and anomalies
Reinforcement Learning (RL) to optimize ship operations
Assessment and supply of all needed spares and services
Final reporting
Reducing CO2 emissions
Real-time data analysis
Consumption / speed modeling
AI and machine learning models
Assess a vessel’s technical condition
On-line carbon footprint tracking
Follow up on the project in operation
Consumption / speed modeling
AI and machine learning models
Assess a vessel’s technical condition
On-line carbon footprint tracking
Follow up on the project in operation
Compliance with regulations
Performance Monitoring Services
Early identification of engine and hull/propeller issues
Utilizing real-time data from onboard sensors
Vessel Condition inspections
Machine learning models identify subtle changes in engine performance or hull resistance
Recommendations for preventive maintenance
Reducing costly downtime
Casualty and damage investigations (using data)
Detection of deterioration in the performance of the housing
Vessel Condition inspections
Machine learning models identify subtle changes in engine performance or hull resistance
Recommendations for preventive maintenance
Reducing costly downtime
Casualty and damage investigations (using data)
Detection of deterioration in the performance of the housing
Calculation of indicators
Optimization of vessel speed and fuel consumption to their optimal ratio
Compliance with the ship's CP terms
Speed claim prevention and resolution
Performance by analyzing data from onboard sensors
Determine the most fuel-efficient speeds and engine settings
Compliance with the ship's CP terms
Speed claim prevention and resolution
Performance by analyzing data from onboard sensors
Determine the most fuel-efficient speeds and engine settings
Сalculates CII and EEOI scores
Vessel's rating (A, B, C, D, E)
CII forecast
Biofuels amoubt for zero penalty
EUAs forecast
Optimal Charter Party (CP) parameters
Energy-Saving Devices (ESDs) effectivness for investment decisions
Vessel's rating (A, B, C, D, E)
CII forecast
Biofuels amoubt for zero penalty
EUAs forecast
Optimal Charter Party (CP) parameters
Energy-Saving Devices (ESDs) effectivness for investment decisions
EU Emission Allowances (EUAs)
EU Emissions Trading System (ETS)
FuelEU Maritime
International Maritime Organization (IMO)
European MRV Regulation
EU Emissions Trading System (ETS)
FuelEU Maritime
International Maritime Organization (IMO)
European MRV Regulation
Subscription-based pricing model
Basic functionalities
- Real-time performance monitoring
- Emissions tracking
- Predictive maintenance
€480 / vessel / month
Subscribe
Pro
- Real-time performance monitoring
- Emissions tracking
- Predictive maintenance
- AI & machine learning models
- Advanced analytics and customized reporting
- Compliance with regulations (IMO DCS, EU MRV, EU ETS, FuelEU)
€690 / vessel / month
Subscribe
Premium
- Real-time performance monitoring
- Emissions tracking
- Predictive maintenance
- AI & machine learning models
- Compliance with regulations (IMO DCS, EU MRV, EU ETS, FuelEU)
- Calculation of indicators (CII, EEOI)
- One-time consulting services
€800 / vessel / month
Subscribe
Subscription
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SmartShipAI is dedicated to providing best in class specialized marine services to our customers. It is an AI-driven platform for monitoring ship performance, predicting maintenance and reducing CO2 emissions. Our team comprises of Marine Engineers and Naval Architects who are vastly experienced and passionate on bringing real and measurable results.
About us
+ 34 653 133 695
Contact Us
info@smartshipAI.online
Cadiz, Spain
Cadiz, Spain
