Toqua AI specializes in developing digital twin machine-learning models for vessels, leveraging shipping data (SCADA) from vessel sensors and weather information from Copernicus. The Copernicus program provides large-scale real-time observation data, essential for monitoring rapidly changing conditions in the maritime environment. This data includes parameters like temperature, salinity, wind, and unique factors like oxygen levels and plankton, crucial for predicting marine fouling growth, a key aspect Toqua aims to address indirectly using machine learning.
By utilizing Copernicus data, Toqua can enhance their models’ accuracy in accounting for weather effects on ship performance, offering potential applications in space, where understanding and predicting environmental impacts are critical. Additionally, Toqua plans to incorporate data from the ESAIL maritime satellite for ship tracking, fleet management, and environmental monitoring, further expanding their capabilities in optimizing ship routes and enhancing maritime safety, with potential implications for space-related navigation and logistics.