Preserve professional watchkeeping on increasingly automated bridges
Aware Mate is an on-board, human-in-the-loop vigilance and watchkeeping support system designed to help the officer of the watch stay alert, engaged, and operationally effective before risk escalates into a safety event.
It strengthens bridge safety without turning the bridge into a remote-surveillance environment.
On-board processing
Human-in-the-loop
Privacy-first
No identity recognition. No emotion recognition. No ship-to-shore raw video by default.
- Operational bridge test: 72h continuous run
- 98.7% uptime
- P95 alert latency 2.4 s
Modern bridges are changing watchkeeping
Modern bridges are more seated, more screen-centric, and more automated than before. The challenge is no longer only what the ship can see. It is whether the officer of the watch remains cognitively engaged throughout the watch, especially during long routine periods, rising traffic complexity, and moments when alertness can quietly drift.
Aware Mate is built for that reality. It is not just a detector for drowsiness and distraction. It is an on-board vigilance and watchkeeping support layer designed to help bridge teams stay alert, present, and effective in the practical work of maintaining a safe watch.
What Aware Mate does
On the bridge
Reduced alertness, distraction, or attention drift before it escalates.
Operational trends
Alert trends and comparative review views that turn watchkeeping into usable signals.
Watch context
Watch occupancy, unattended or long-absence patterns, and watch-block clustering.
Deeper analysis
Traffic-adjusted risk context, where enabled, to show how conditions affect attention load.
Proof and resources
Operational test video
Resource library
Operator brief
Practical overview for fleet operators: deployment fit, privacy boundaries, and pilot scope.
Operational test summary
72-hour live bridge trial: headline KPIs, crew acceptance, and next-step deployment limits.
Data handling & privacy
What stays on board, what may leave the vessel, retention defaults, and governance boundaries.
MAIB study
Independent bridge-watchkeeping evidence on fatigue, attention, and loss of vigilance.
A different kind of bridge AI
Some bridge AI is designed to see more outside the ship. Some pushes more video and more visibility ashore. Aware Mate starts from a different question: is the watchkeeper staying alert, present, and operationally effective on the bridge? On a bridge, visible posture is a poor proxy for vigilance; what matters is sustained engagement with the traffic picture, instruments, and outside view over time.
Privacy and trust by design
● On-board processing
● No identity recognition
● No emotion recognition
● No raw video ashore by default
Retention and exports are structured around derived safety signals and operational review, not around creating a surveillance archive. That makes the system easier to explain, govern, and adopt.
Operational value for owners and managers
Earlier intervention
Supports the bridge team before a developing loss of alertness becomes a near miss or escalation event.
Better operational review
Shows patterns over time so operators can review consistency, hot spots, and improvement after corrective action.
Integration and deployment
Fits practical bridge deployment and can complement existing bridge procedures rather than forcing a new surveillance model.
Incident analysis
Bridge incidents, causal patterns, and where earlier vigilance support could have helped.
Downloads and references
Operator briefs, external studies, and supporting documents for further review.
See how Aware Mate fits your bridge setup
On-board vigilance and watchkeeping support for increasingly automated bridges.
Aware Mate helps the officer of the watch stay alert, engaged, and operationally effective before risk escalates into a safety event.
Operational bridge test: 72h live run • 98.7% uptime • P95 alert latency 2.4 s