Hefring Marine
About
About Hefring Marine
Hefring Marine’s IMAS Helm processes vessel-motion, engine and environmental data locally to advise the operator on speed, course and handling. The onboard unit detects impacts, excessive motions and inefficient operation and can continue providing guidance without an active internet connection.
IMAS Console aggregates voyages across a fleet, giving shore teams trip replay, fuel and speed analysis, event histories and indicators for maintenance or training. Chartplotter integrations allow recommendations and alerts to appear within equipment already used at the helm. Hefring supplies the onboard hardware and recurring software service to commercial, patrol, rescue and leisure fleets seeking consistent operating standards across different vessels and crews.
Supply
Supply chain relationships
- MarineAI
Outbound - Autonomy Software - Hefring Marine IMAS integrates into MarineAI GuardianAI autonomous-vessel control
Source
Timeline
Events
- 2025-06-19 - Partnership - Hefring Marine and SeaBot launch IMAS-enabled USV operator training
The training programme focuses on intelligent speed and throttle control for high-speed USVs operating above 25 knots. Hefring will provide IMAS access, simulation integration support and technical input into training design. SeaBot will lead course development and delivery using its MCA-recognized USV training framework.
Source - 2025-05-22 - Partnership - Hefring Marine and MarineAI integrate IMAS with GuardianAI
IMAS adds real-time sea-condition insight, operational optimization and safety guidance to the GuardianAI autonomy stack. GuardianAI supports IMO Level 4+ autonomy with situational awareness, tactical route planning and vessel control. The partners planned to make IMAS an OEM-supported GuardianAI module and continue joint product development.
Source - 2025-01-22 - Deployment - Norwegian Sea Rescue selects IMAS for fleet-wide deployment
The fleet-wide selection followed a two-year competitive process and expanded a collaboration that began with an IMAS prototype in 2020. Eight rescue vessels were already using IMAS when the broader rollout was announced. Hefring said installation across the remaining fleet would take place during 2025 and 2026.
Source
Relations
Relationships
- SeaBot Maritime
Usv Training Partner
Context
Comparable profiles
- Aquatonomy
stack adjacency - Marine Autonomy Software
- MarineAI
stack adjacency - Marine Autonomy Software
- Mythos AI
stack adjacency - Marine Autonomy Software
- Bearing AI
stack adjacency - Marine Autonomy Software
- Robosys Automation
stack adjacency - Maritime Autonomy Software Layer
- Mirai Robotics
stack adjacency - Marine Autonomy Software · Maritime Autonomy Software Layer
- Greensea IQ
stack adjacency - Marine Autonomy Software
- Tongzhou Zhihang
stack adjacency - Maritime Autonomy Software Layer
- Eight Knot
stack adjacency - Marine Autonomy Software
- Zeabuz
stack adjacency - Maritime Autonomy Software Layer
- StrateSea Technology
stack adjacency - Marine Autonomy Software
- MAPS Messaging
stack adjacency - Marine Autonomy Software
Shared workflows
- Maritime Robotics
workflow adjacency - Maritime Autonomy
- Rekise Marine
workflow adjacency - Maritime Autonomy
- Fleetzero
workflow adjacency - Maritime Autonomy
- SEAHI Robotics
workflow adjacency - Maritime Autonomy
- EvoLogics
workflow adjacency - Maritime Autonomy
- BUVI Scandinavia
workflow adjacency - Maritime Autonomy
- STARK
workflow adjacency - Maritime Autonomy
- Splash
workflow adjacency - Maritime Autonomy
- JET Connectivity
workflow adjacency - Maritime Autonomy
- Composite Energy Technologies
workflow adjacency - Maritime Autonomy
- SEATOM Technologies
workflow adjacency - Maritime Autonomy
Context tags
- Marine autonomy-software stack - Stack Layer - Official company material supports the marine autonomy software context.
- Maritime autonomy software layer - Stack Layer - Official company material supports the maritime autonomy software layer context.
- Maritime autonomy - Workflow - Official company material supports the maritime autonomy context.