xavveo develops photonic radar technology that transmits radar signals via fiber optics for next-generation autonomous systems. This technology provides high-resolution imaging comparable to lidar and cameras, but with superior robustness in all weather conditions. By combining this distributed radar with AI-based software, the company enables precise, real-time environmental perception for applications in automotive, robotics, and defense.
Funding
$8.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IXFounders
Product
Problem
Autonomous vehicles require comprehensive environmental awareness for safe navigation, but existing sensor technologies like cameras and traditional radar have limitations in adverse weather conditions and struggle to accurately perceive depth and velocity. Current factory automation systems also lack the high-precision, real-time data needed to optimize processes and prevent errors.
Solution
Xavveo develops photonic radar sensor technology that provides a 360-degree view for autonomous vehicles and factory automation systems. These sensors use advanced photonics to deliver accurate, real-time data on object distance, velocity, and shape, even in challenging weather conditions. For autonomous driving, this enhanced perception enables vehicles to make informed decisions and avoid accidents. In factory settings, the sensors improve operational efficiency by providing the precise data needed to optimize processes, reduce errors, and enable continuous monitoring of equipment and materials.
Target Audience
The primary customers are automotive manufacturers developing autonomous vehicles and industrial companies seeking to improve efficiency and reduce errors in their factory automation processes.
Features
- 360-degree field of view for comprehensive environmental awareness
- High-resolution depth and velocity mapping using photonic radar
- Real-time data acquisition and processing for immediate decision-making
- Robust performance in adverse weather conditions (e.g., fog, rain, snow)
- Integration with existing autonomous vehicle control systems
- Compatibility with industrial automation platforms and robotic systems