CiDi develops autonomous driving technologies, including V2X communication systems and high-performance perception solutions, to enhance the safety and efficiency of commercial vehicles. The company addresses the challenges of traffic congestion and road safety by enabling smarter vehicles and infrastructure through advanced connectivity and automation.
Funding
$45M 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.
Founders
Product
Problem
Commercial vehicle operations face challenges in safety and efficiency due to traffic congestion and limitations in vehicle awareness. Traditional driving systems lack comprehensive perception and communication capabilities, hindering the potential for optimized routing, collision avoidance, and overall operational effectiveness.
Solution
CiDi develops autonomous driving technologies focused on enhancing the safety and efficiency of commercial vehicles through advanced connectivity and automation. The company provides V2X (Vehicle-to-Everything) communication systems and high-performance perception solutions that enable smarter vehicles and infrastructure. CiDi's technology facilitates real-time data exchange between vehicles, infrastructure, and other road users, improving situational awareness and enabling proactive decision-making. By integrating these technologies, CiDi aims to create a safer and more efficient transportation ecosystem for commercial applications.
Target Audience
CiDi's primary customers include commercial vehicle manufacturers, fleet operators, logistics companies, and government transportation agencies seeking to improve the safety, efficiency, and sustainability of their operations.
Features
- V2X communication systems for vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-pedestrian (V2P) data exchange
- High-performance perception solutions utilizing sensor fusion, computer vision, and machine learning algorithms
- Autonomous driving software stack for path planning, decision-making, and vehicle control
- Advanced driver-assistance systems (ADAS) features such as adaptive cruise control, lane keeping assist, and automatic emergency braking
- Cloud-based platform for data analytics, remote monitoring, and over-the-air (OTA) software updates
- Integration with traffic management systems for optimized routing and congestion avoidance
- Real-time alerts and notifications for potential hazards and safety-critical events
- Hardware and software solutions compliant with automotive-grade safety and reliability standards