Develops software-defined Distributed Aperture Radar (DAR) systems that use coherent radar fusion and AI-driven perception to deliver 10x higher resolution and long-range object detection for autonomous vehicles. These low-cost, low-power sensors enable OEMs to implement advanced driver-assistance systems (ADAS) with improved safety and reliability, reducing the complexity and expense of traditional radar solutions.
Funding
$22.6M 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.
HMFounders
Product
Problem
Current radar systems for autonomous vehicles often lack the resolution and long-range object detection capabilities required for safe and reliable advanced driver-assistance systems (ADAS). Traditional radar solutions can be complex and expensive, hindering widespread adoption.
Solution
Zendar develops software-defined Distributed Aperture Radar (DAR) systems that leverage coherent radar fusion and AI-driven perception to enhance the performance of ADAS. Their technology achieves significantly higher resolution and long-range object detection compared to conventional radar. By using low-cost, low-power sensors and a centralized radar architecture, Zendar enables OEMs to implement advanced safety features without compromising performance or increasing costs. The software-defined nature of the system allows for continuous learning and improvement over time, enhancing safety throughout the vehicle's lifespan. Zendar's Semantic Spectrum AI processes raw radar data to accurately classify and track objects, even in challenging conditions like poor visibility.
Target Audience
The primary target audience includes automotive OEMs and Tier-1 suppliers seeking to enhance ADAS capabilities with high-performance, cost-effective radar solutions.
Features
- Distributed Aperture Radar (DAR) technology for 10x higher resolution
- Long-range object detection capabilities
- Low power consumption
- Software-defined radar platform that improves over time
- Semantic Spectrum AI for object recognition and tracking using raw radar data
- Centralized radar architecture for efficient processing
- AI models recognize and track humans, cars, and other potential hazards
- Reliable performance unaffected by sunlight, darkness, or poor weather