Astraea.AI

Collect AIS data, RF emissions, and OSINT data on vessels in the area of interest.

Use AI-powered entity resolution to identify vessel ownership and related entities.

Apply anomaly detection algorithms to identify unusual vessel behavior (e.g., AIS gaps, loitering).

Screen vessels against sanctions lists to identify potential compliance violations.

Generate an intelligence report summarizing the findings and recommending follow-up actions.

Collect ADS-B data and FAA registration information on aircraft.

Use entity resolution to link aircraft to registered owners and related organizations.

Detect flight anomalies such as unauthorized airspace incursions or unusual flight patterns.

Cross-reference aircraft owners with sanctions lists and watchlists.

Generate an intelligence report outlining any potential security risks and recommending further investigation.

Ingest entity data from various sources (e.g., vessel manifests, corporate registries).

Automatically screen entities against OFAC, EU, and UN sanctions lists.

Flag any matches with confidence scoring and evidence trails.

Generate compliance reports summarizing screening results and potential violations.

Input case-related entities (individuals, companies, addresses) into the Virgo platform.

Utilize Planchette Integration to automatically enrich case parties with OSINT data.

Discover relationships across public records and email communications.

Generate comprehensive profiles of case parties for use in legal proceedings.

Monitor RF emissions using ground stations to detect non-reporting vessels.

Correlate RF emission data with cooperative traffic to identify discrepancies.

Utilize multi-station RF geolocation to pinpoint the location of unidentified transmitters.

Compare vessel presence with expected routes and destinations to highlight anomalous behavior.