Superpower your Machine Learning program with Historical AIS data

Ready to take your maritime Machine Learning projects to the next level? Leveraging Spire Maritime’s Historical AIS data, which includes vessel positionsand information, port activity, and more, you can feed and train ML models to optimizesupply chains, reduce risk, increase efficiency and reduce costs.

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Harnessing Historical AIS for Machine Learning

May 31st 2023

Learn how Historical AIS data can be used as the foundation for powerful Machine Learning models that are part of Freightflows’ groundbreaking platforms

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Léon Gommans

“AI is way better than humans ever will be in exploring all potential opportunities and finding the most optimal one. But if you put in bad data, garbage in is garbage out.”

Léon Gommans, Teqplay CEO

Listen to the full podcast episode


Nidhi Gupta Portcast CEO

“I’ve come to believe that the data ingestion – the very data sources, the advanced datasets we get – is an equal component to Machine Learning.”

Nidhi Gupta, Portcast CEO

Listen to the full podcast episode

What is Historical AIS data?

Historical AIS data is a collection of vessel movements recorded by Automatic Identification System (AIS) technology. AIS transponders are mandatory for all vessels over a certain size, and they transmit information about the vessel’s identity, position, speed, and more.

Our Historical AIS data captures this information and organizes it into a format that is easy to use for Machine Learning applications.

Next: How can Historical AIS be used in Machine Learning?


How can Historical AIS data be used in Machine Learning?

Historical AIS data can be used in a variety of Machine Learning applications, such as vessel route prediction, emissions optimization, and anomaly detection.

By feeding AIS data into Machine Learning algorithms, you can gain insights into specific vessels’ behavior and predict future movements, but also predict the evolution of market trends or trade. This information can be used to optimize supply chains, reduce risk, and increase efficiency.

Next: Why choose Spire Maritime’s Historical AIS data?


Why choose Spire Maritime’s Historical AIS data?

Our Historical AIS data offers several key advantages for Machine Learning applications:

  • Our data is highly accurate and reliable, thanks to our rigorous quality control and data enrichening process.
  • Delivery format is highly customizable: as a download link, placed in server bucket of your choice or via SFTP. And you can also use our Historical AIS APIs for more flexible access to historical data.
  • Our data is constantly updated and global, sourced from Satellite, Terrestrial and Dynamic AIS, so you can be sure that you have the most comprehensive and up-to-date information for your projects.

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Customer spotlight

SynMax: ML-powered domain intelligence

Our customer SynMax combines multiple intelligence disciplines with specialists in machine learning and artificial intelligence. Its maritime domain intelligence product, Theia, works by fusing multiple data streams, including Spire’s AIS data, in a way that negates any advantage that a dark ship may utilize in an effort to stay hidden.

Read more about SynMax

Screenshot SynMax Theia

Industry use cases

Commodity trading and supply chain prediction

Historical AIS is a key component in understanding trade patterns, anomalies and forecasting trade and supply and demand.

Risk Assessment and Insurance

Historical AIS provides the ability to analyze vessels’ behaviors and predict risk based on past patterns.

Sanctions compliance violations

Historical AIS can be used in ML contexts that detect anomalies linked to sanctions compliance.

Environmental regulations and CO2 emissions

Vessel performance and emissions can be predicted using Historical AIS data and ML models.

Optimal route planning and voyage optimization

Predicting optimal voyage routes and ETA is one of the main ML-enabled use cases for Historical AIS.