Supports powerful automation of the region monitoring process, allowing users to ask to determine areas of high activity and exposure across the globe.

Accesses a diverse range of data from sources including AIS (Automatic Identification System), SAR (Synthetic Aperture Radar), EO (Earth Observation) optical satellite imagery, VMS (Vessel Monitoring System), and RFM (Radio Frequency Monitoring), ensuring accurate and complete representation of exposure on land and at sea.

Acting as a central repository for asset data, including moving assets historical tracking, the platform allows users to make informed decisions based on facts, backed up by significant amounts of data and state of the art aggregation analysis. The platform helps users understand behavioural patterns, identify trends and perform comparison and benchmarking on a global basis, quickly identifying areas of potential interest for future asset deployment using visual data including heat maps.

Integrates severe weather events and other catastrophes datasets and information to provide pre-and post-event analysis capabilities. With the ‘ground truth’ sourced from the latest Earth Observation satellite imagery, users can monitor and track assets affected by events as they unfold. Visible and radar (SAR) satellite data are tasked pre and post-event for automatic detection and identification of changes, allowing users to efficiently receive information about the status of their assets in the immediate aftermath of the event, empowering them to make informed decisions.

Analyses years of terrestrial and satellite AIS data to create monthly heat maps of traffic density, performing visual analyses such as overlaying monthly clusters of aggregation and wind distribution maps. The data provides critical support for developing feasibility studies for wind farms. Further enhancing information gathered using AIS vessel data, Skytek combines aggregation data with Earth Observation satellite imagery received and images for the regions being monitored. The platform allows for a complete picture of vessels in an area independent of AIS, cloud cover and whether the satellite image was taken day or night. By combining these images with aggregation data, the system can provide additional analysis of all vessel activity at a particular time regardless of whether vessels have AIS tracking devices.

The platform is a valuable resource to assist users with environmental compliance obligations, providing insight on environmental risk factors for the specific areas of interest and parameters to be monitored. Factors such as understanding sensitive marine areas, such as fishing grounds, empower users with information to identify and select suitable locations for development and document the associated feasibility studies.

A seamless, fully integrated end-to-end solution for accumulation monitoring for over 200 ports worldwide, providing the ability to monitor accumulations both on vessels docked in a port and cargo stored at a port. Through a proprietary combination of vessel analytics, port modelling and Earth Observation analysis, freight volume and value can be determined and provided to the user. The Earth Observation analysis uses the latest state of the art machine learning technology to automate the extraction of information from images retrieved from EO satellites of ports being monitored. The service provides the capability to identify and monitor cargo movement patterns over time quickly, such as vehicle storage terminal usage, and post a significant event to determine potential loss within a port region.