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AI powered optimization for cleaner, safer and more efficient maritime transport.

Features

In the world of maritime transport, there are major challenges to be solved in the coming years.

Enviromental

Ecofriendly

Maritime traffic produces 2.5% of the planet's total CO2 emissions. The International Maritime Organization aims to reduce these emissions by 40% before 2030.

Cost

Money saving

Fuel amounts to 60% of the total operational cost of sea transport, for a total bill of €120 Billions per year. Optimizing routes can save 3-10% of this sum at almost no extra cost.

Safety

Crew safety

Sailing under adverse weather conditions causes 48% of maritime casualties. Crew and cargo safety must be considered when planning optimal routes.


Data driven model

Oceanographic and weather conditions are constanly changing, so optimal routes will change every day.
Also on a given day, the optimal route will be different for each vessel.
All our data are daily updated from main weather and ocean data providers.

Currents

Sea currents can reach 10% of a typical cargo vessel speed. Detailed real-time knowledge of sea currents can have a considerable impact on fuel consumption.

Wind

Wind adds further resistance specially in container ships that have a large cross section. Wind changes on a shorter time scale. It is essential to have freshly updated data and reliable forecasts.

Waves

We model the added resistance due to swell and waves on a given vessel. High transverse waves can be potentially dangerous.


Optimization

Vessel consumption modeling

We use advance mathematical models to accurately simulate the interaction of waves, currents and wind on a specific vessel. Our baseline models incorporate state of the art knownledge on naval engineering and hydrodynamics. We can develop tailor made consumption models trained on real consumption data.

Optimization algorithms

We combine the most recent evolutionary optimization algorithms and gradient descent variational methods to find the optimal route according to user defined criteria.


Request a demo

Try our demo version

Try our software and explore the features that our weather routing system provides. We currently compare real trajectories obtained by AIS data to find out the estimated savings that would be obtained with our optimization tools.

If you are interested in trying our product, please fill the form below and we will be happy to schedule a demostration.




Meet our team

We are a team of passionate mathematicians, computer scientists, engineers and developers committed to work together and share our knowledge to build a better world.
If you want to join us, the team is growing!

David Gómez-Ullate
Project coordinator
Daniel Precioso
Modeling team
Francisco Amor
Full stack developer

Javier Jiménez
Full stack developer
David Peña
Optimization team
David Gordo
Business advisor

Víctor Gallego
Optimization team
Manuel Navarro
Modeling team
Alberto Torres
Data Architect