Visual characteristics
Hull, superstructure, proportions, equipment, markings, damage, configuration and other distinguishing features.
A custom government and enterprise capability combining image evidence, geospatial context, vessel characteristics, historical activity and available signals.
Tevuna starts from an image or imagery set and tests visible and contextual evidence against vessel records and activity history. Where sufficient evidence exists, the output identifies the vessel and connects it to ownership, management and risk intelligence.
Evidence availability depends on image quality, location, time window and the observable characteristics of the vessel.
Hull, superstructure, proportions, equipment, markings, damage, configuration and other distinguishing features.
Coastline, port, anchorage, traffic lane, weather, lighting and environmental indicators.
AIS, port calls, known routes, registry history and prior vessel behavior where available.
Non-image signals and event correlations that can support candidate confirmation.
IMO identity, names, flags, dimensions, type, ownership and management history.
Competing matches and the evidence supporting or excluding each candidate.
The final package is configured around the operational or evidentiary use case.
Identified vessel or ranked candidate set, with IMO and historical identity where available.
Visual, geospatial, activity and registry factors supporting and contradicting each conclusion.
Shipowner, manager, beneficial-owner company, UBO or UCB and related risk after identity is established.
Explicit confidence, evidence gaps and alternative candidates.
Dark Ship Identification is offered on request to government and enterprise clients. Scope depends on image quality, number of observations, available coordinates or time windows, geographic area, required urgency and the depth of ownership intelligence requested after identification.
Original files and metadata.
Coordinates or geographic area.
Capture date or window.
Required decision and output.
Tevuna will assess whether the evidence supports a useful identification workflow.