Spire's machine-learning capable nanosat

This machine-learning capable satellites was launched on a Russian Soyuz launcher on 28 September.

The Glaswegian-built nanosatellite joins a fleet of about 100 objects in low Earth orbit that help to predict the movement of the world’s resources, so that businesses and governments can make informed decisions.

The satellites have been built by Spire Global UK, a satellite-powered data company that provides predictive analysis for global shipping, aviation and weather forecasting.

These services have been developed thanks to the UK Space Agency under the ESA Pioneer Partnership Project.

Spire uses automatic identification systems aboard ships to track their whereabouts on the oceans. Its network picks up the identity, position, course and speed of each vessel.

Thanks to embarked intelligent machine-learning algorithms, it can predict vessel locations and the ship’s estimated time of arrival at port, enabling port authorities to manage busy docks safely and market traders to price the goods carried aboard.

Spire staff design and build all the sub-systems, and integrate and test the whole spacecraft in the company’s Glasgow headquarters.