Navigate Without GNSS – With Full Situational Awareness
SentiNAV delivers robust navigation data for ships, vehicles, and drones – even in GPS-denied zones
SENTINAV
GNSS-Denied Navigation Systems
Resilient GNSS-denied navigation for drones, vessels & vehicles in GPS-compromised environments.
Navigate anywhere — even when GPS fails.
Our GNSS-denied navigation system works underground, offshore, and in contested environments. Designed for resilience and built for integration, it plugs seamlessly into your existing platform or autonomy stack.
Maritime vessels
Drones for dual-use applications
Industrial vehicles and logistics
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How does SentiNAV work?
1. Sensors are connected to SentiNAV
Easily integrate existing sensors such as IMUs, LiDAR, cameras, and radar using standard interfaces.
SentiNAV is designed to work with both legacy and modern platforms – from ships and UGVs to autonomous drones.
2. Sensor Fusion Engine in Action
Our onboard processing unit collects and fuses data from all connected sensors. Using proprietary algorithms, SentiNAV calculates position, velocity, and orientation – even in GPS-jammed or spoofed environments.
3. Reliable Navigation Output
The fused data is continuously processed to deliver high-precision navigation outputs in real-time. Position and heading data can be exported via standard protocols (e.g., NMEA, ROS, CAN), ready for integration with your onboard systems.
GNSS Signals Are Vulnerable
Jamming, spoofing, and blocked signals can leave your autonomous systems blind.
Our Solution
Real-time sensor fusion with inertial, visual, radar, and AI-based systems — no satellite required.




"Due to the accurate timing of the SentiBoard we can replay the data exactly as it was recorded when we are back in the lab. This makes us able to develop our algorithms without needlessly repeating the experiment, avoiding additional costs for new experiments, and providing a more accurate baseline when comparing the newly developed algorithms as the input data is identical"
"SentiSystems technology offers benefits to Maritime Robotics in the form of more accurately georeferenced data for UAS and USV applications. This is crucial in the process of developing the company’s next generation camera and sensing systems, to provide situational awareness to operators of uncrewed systems."
What happens when GNSS fails?
Resilient sensor fusion for drones, vessels & vehicles in GPS-compromised environments.
Navigate anywhere — even when GPS fails.
Our GNSS-denied navigation system works underground, offshore, and in contested environments. Designed for resilience and built for integration, it plugs seamlessly into your existing platform or autonomy stack.

Our solution for the defence industry
Localization and situational awareness are essential for mobile equipment to operate autonomously. Due to the shifting geopolitical environment, we are increasingly encountering situations where GNSS is unreliable or non-existent. To address this, we have developed SentiNAV—our localization and perception system for GNSS-denied navigation. Leveraging advanced navigational algorithms and sensor fusion approaches, our contribution to a safer future is clear: efficient and resilient defense robotics and autonomy.
Our SentiNAV solution leverages our extensive knowledge and experience with sensors, robotics, and in-house developed algorithms for positioning and enhanced situational awareness and surveillance. It is simple to install with standardized interfaces and supports real-time operating systems. Additionally, our technology supports Time Sensitive Networks (TSN), making all sensor data available on TSN networks.
Our technology significantly impacts object detection, classification, and identification, enabling faster, more reliable, and precise operations.
The future of defence
Precise and reliable positioning
Vehicles, objects, vessels or people. We enable position data to be reliable and accurate making it possible to make informed decisions.
Reliable Navigation without GPS
In environments where GPS availability varies, our solutions offer reliable navigation alternatives, ensuring uninterrupted operations regardless of GPS signal strength.
Situational awarness
A clear "picture" and understanding of what is happening in the surrounding environment of robots are crucial for an autonomous system's ability to make informed decisions.
Sensor voting and surveillance
With Senti inside an autonomous system, voting between sensors and constant "health checks" makes sure that the system is functional.