Analytic Feeds consist of multiple layers that process information to deliver detailed outputs. The pipeline starts with raw data from satellite imagery, filters out noise to improve quality, and prepares the data for API access. Advanced algorithms then detect and classify objects within the imagery, such as vessels on the sea. The final layer draws bounding boxes around the detected objects to support tracking and analysis.

Several factors can influence the output of the Analytic Feeds. Variations in vessel color from different paints, lighting conditions, or materials are accounted for during object detection. Environmental conditions such as haze and cloud cover can affect the visibility and clarity of the imagery, and can cause some vessels to be missed even when they look similar to vessels that are detected.