Space-based data company Spire has announced a new agreement with logistics analytics firm Sinay, to integrate Spire’s weather data into Sinay’s machine learning model alongside its historical and real-time automatic identification system (AIS) data.
The Sinay Hub is a cloud-based system that uses AI algorithms to offer real-time environmental and logistics monitoring for maritime industry stakeholders to optimise decision making for efficiency and regulatory compliance.
Using Spire’s data, Sinay’s AI technology will determine maritime routes, classify vessels and train the machine learning model to improve its AI algorithms and predict a more reliable Estimated Time of Arrival (ETA).
Sinay is an existing partner of Spire’s, leveraging the company’s AIS data for more than two years. In addition to AIS data, Sinay is now looking at integrating maritime weather insights for cargo tracking by modelling weather conditions and ETAs that employ machine learning to define the best route for cargo delivery.
“The impact of weather on the maritime industry and in turn global supply chains is something that we are uniquely able to help our customers mitigate,” said John Lusk, SVP and General Manager, Spire Maritime.
“We are pleased to expand our relationship with Sinay to include this valuable data set alongside the historical and real-time AIS data that they have been utilising in their models for years.”
