EVERY SHIP STILL HAS A WATCH.
Aware Mate
Local bridge support.
Privacy-bounded operational review.
Aware Mate supports active bridge watchkeeping using an on-board camera and local processing. It monitors defined visual indicators related to presence, attention and alertness, provides local advisory prompts, and gives operators aggregated information to review watchkeeping patterns over time.
Core analysis runs on board. Aware Mate does not identify crew or analyse emotions. Raw video is not sent ashore by default.
On-board by default
No identity recognition
No emotion recognition
No raw video ashore by default
Advisory only
- Instrument the watch, not the officer.
ELNAV.AI systems
Human-centred operational intelligence for critical maritime operations.
ELNAV.AI develops human-in-the-loop technology for the point where onboard systems, operating procedures and professional judgement must align.
Active watchkeeping support · Critical procedure support · Emergency leadership training · Navigation resilience R&D
EXPLORE OUR SYSTEMS
Helm Order Monitor
Speech recognition for safer manual steering
- ASR
- Helm orders
- Sensor context
An ELNAV.AI system for verifying spoken helm orders during hand steering, using automatic speech recognition and ship sensor context, including whether manual steering is engaged.
OSC Training
Emergency leadership simulation for maritime teams
- Emergency response
- Trainer runtime
- Debrief reports
Scenario-based emergency response training that lets trainers run realistic audio-driven drills, score observable actions and produce structured internal assessment records.
RouteShield-PNT
Route integrity and off-route prevention with resilient PNT
- Resilient PNT
- Bridge alerts
- Sensor cross-checks
A bridge-network module that cross-checks GNSS position and time against radar, chart, dead reckoning, depth and independent time evidence.
Project Sentinel
Marine environmental intelligence in development
- AI gliders
- In-situ sensing
- Pollution alerts
A concept for AI-enabled underwater gliders that detect illegal marine discharges and relay alerts for enforcement and environmental protection.
From the press
Selected coverage, announcements and public updates.
On a ship’s bridge, the hardest moments are often the quiet ones: a steady course on autopilot, repeated checks, and paperwork slowly competing for attention. The officer on watch is still responsible when traffic or conditions change. Hrvoje Mihovilović knows that situation from the inside, and his startup ELNAV.AI, from Split in Croatia, is building technology for it.
The Europort Awards Stage was alive with excitement today, hosting not one but two major award ceremonies honouring innovation, digitalisation, and smart shipping excellence.
Later in the day, the spotlight turned to Europort’s Rising Stars, where ELNAV.AI received the Rising Star Award, including a €10,000 media package from HANSA.
ELNAV.AI is presented in the interview as a Croatian maritime technology company working on two problems that are often handled too late: human-factor risk on the bridge and pollution in coastal waters. The Adriatic is framed as a practical proving ground for systems that can later scale internationally.
The company says it is combining AI, maritime robotics, and operational experience at sea to build products that are usable in real conditions – not only in research settings. The stated objective is practical and measurable: fewer incidents, earlier pollution detection, and more reliable support for crews and institutions responsible for marine safety.
“AI in shipping should act as a copilot, not an autopilot.”
ELNAV.AI Seafarer-Centred AI Deployment Standard
ELNAV.AI will not support AI deployments that create efficiency by transferring unassessed risk, workload or surveillance to seafarers. Our Standard defines the evidence, safeguards and decision gates that apply whenever we design, pilot, supply, integrate or materially support AI systems affecting seafarers’ work.
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