Aurora provides the Aurora Driver, an autonomous self‑driving system that can be retrofitted into existing freight trucks to operate continuously with minimal human input. Leveraging a perception stack of lidar, radar and cameras, Verifiable AI, and safety‑focused software, the platform detects hazards such as pedestrians, aggressive drivers, tire blowouts and emergency vehicles, enabling carriers to improve on‑time delivery while reducing accident risk.
Funding
Funding not disclosed
Founders
Product
Problem
Freight trucking relies on human drivers who face fatigue, variable reaction times, and exposure to hazardous road conditions, leading to safety risks and inefficiencies in supply chain operations.
Solution
Aurora offers the Aurora Driver, an autonomous self‑driving system that can be integrated into existing freight fleets to operate trucks continuously with minimal human intervention. The system combines advanced hardware, proprietary software, and Verifiable AI to detect pedestrians, aggressive drivers, tire blowouts, and emergency vehicles, and to respond with rapid, safety‑focused maneuvers. By handling long‑haul and less desirable routes, the Aurora Driver improves on‑time delivery while reducing accident risk. The platform is designed to work alongside professional drivers in a hybrid model, allowing carriers to maintain service quality during the transition to autonomy. Safety performance is validated through independent audits (e.g., TÜV SÜD) and extensive real‑world testing that demonstrates the ability to avoid fatal crashes.
Target Audience
Primary customers are freight carriers and logistics companies that operate long‑haul trucking fleets and seek to enhance safety, reliability, and efficiency through autonomous technology.
Features
- Integrated perception stack with lidar, radar, and camera sensors for real‑time detection of pedestrians, vehicles, and road hazards
- Predictive behavior modeling that tracks aggressive drivers and anticipates their trajectories to adjust speed and position safely
- Tire‑blowout detection and automated safe‑stop procedures to bring the truck to the shoulder without driver input
- Emergency‑vehicle recognition and protocol to yield, pull over, or create space as required
- Verifiable AI framework that logs decision‑making for auditability and regulatory compliance
- Compatibility with existing fleet management systems for seamless deployment in current operations