Zendar, founded in 2017, develops RF (Radio Frequency) perception technology that derives vision-like, semantically segmented environmental understanding from radar data alone. The company's stated aim is to close safety gaps in autonomous systems by treating radar as a primary sensor rather than a secondary one, supporting autonomous navigation and robotics through high angular resolution and RF's temporal and spatial characteristics.
The company's RF perception platform runs on embedded automotive systems and relies exclusively on radar, combining vision-like clarity with all-weather operation and long-range sensing. An early fusion architecture underpins the approach. Alongside it, Zendar offers a perception foundation for physical AI - a base layer intended to let robotics teams deploy, train and scale more quickly across autonomous systems.
The perception foundation is deployed across automotive, logistics, agriculture and industrial sectors. Technical work spans RF and radar perception, sensor fusion, semantic segmentation, computer vision-like resolution, embedded automotive systems, robotics and physical AI.
