Raw LiDAR isn’t semantic
Navigation needs typed objects and terrain, not just points.
Industries · Robotics & navigation
Robotics & Navigation
Bring semantic 3D perception to robots and autonomous platforms — classify LiDAR into typed objects for mapping, navigation and situational awareness, running on-device.
The challenge
What makes it hard.
On-device & offline
Inference has to run at the edge, without a cloud round-trip.
SLAM needs context
Localisation and planning improve with a classified, typed scene.
Integration is hard
Wiring a perception stack into a platform is significant work.
How Flai helps
One engine, tuned to robotics & navigation.
The same FlaiCortex engine, specialised for the objects and standards your work depends on.
- Semantic classification of robot & vehicle LiDAR
- Runs on-device via the embedded library (Flai Lib)
- Typed objects for navigation and obstacle awareness
- Offline and real-time capable