Image-grade LiDAR sensors for autonomous vehicles and robotics
Seyond manufactures LiDAR sensors (Falcon, Robin) and perception software (OmniVidi) for autonomous driving and industrial automation. The tech stack—Zemax, COMSOL, MATLAB, TensorFlow, PyTorch, NVIDIA Jetson, ROS—reflects a hardware-software hybrid: optical simulation and physics modeling upstream, ML inference and embedded deployment downstream. Active hiring leans engineering-heavy with distribution and sales ramp, suggesting transition from R&D phase toward channel scaling.
Seyond designs and manufactures image-grade LiDAR sensors and perception software for automotive, intelligent transportation, robotics, and industrial automation markets. The company operates from Sunnyvale with research and manufacturing sites globally. The Falcon sensor (ultra-long range) and Robin sensor (mid-to-short range) are in production; over 200,000 Falcon units are deployed. The OmniVidi software platform handles real-time perception on embedded hardware. Primary customers span autonomous vehicle makers, transportation infrastructure operators, and robotics integrators.
Seyond's LiDAR sensors power autonomous driving, intelligent transportation systems, robotics, and industrial automation. The Falcon sensor (ultra-long range) and Robin sensor (mid-to-short range) are in mass production; over 200,000 Falcon units are deployed.
Core tools: Zemax (optical design), COMSOL Multiphysics (physics simulation), MATLAB, Python, C++, TensorFlow, PyTorch for ML, NVIDIA Jetson for embedded inference, ROS for robotics, and Linux/Embedded Linux for runtime.
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