RDZN News & Events

Roadzen announced that its drivebuddyAI platform for safety and autonomy has entered into an agreement valued at approximately $5.3M with one of India's electric commercial vehicle leasing and fleet operators. The deployment covers drivebuddyAI's six-camera ADAS solution across 3,600 electric buses and trucks operating in public transportation, seaport logistics, mining, and industrial transportation, including electric city bus fleets serving major Indian metros. The initial deployment will be 1,300 vehicles, with volumes expected to ramp to 3,600 over the course of the year. This is the second major fleet order for drivebuddyAI during Roadzen's FY27, following the previously announced multi-million dollar contract to deploy its six-camera ADAS solution across 3,000 heavy-duty trucks in the steel and infrastructure sector.

Roadzen announced that its wholly owned U.S. roadside assistance subsidiary, National Automobile Club, has signed a commercial contract valued at approximately $1.2M in annual revenue with a U.S. provider of digital assistance, mass insurance, and extended warranty programs. The agreement names NAC as the exclusive roadside assistance provider embedded within the client's consumer mobile application, serving a base of more than 500,000 users.

Roadzen's drivebuddyAI has been granted a patent for a Real-Time Automotive Lane Region of Interest Detection System, a material advance in ADAS precision for commercial and passenger vehicles, and a foundational building block for next-generation autonomous driving architectures. The company said, "The invention addresses a persistent limitation in conventional lane detection: the inability to perform reliably across variable road conditions, lighting environments, and vehicle types. Key innovations include: Automated Frame Validation - An AI evaluation module scores video frames across lane visibility, geometry, vehicle positioning, and lighting. Only high-confidence frames drive lane ROI computation, materially reducing false alerts. Vehicle-Specific ROI Adaptation - Parameters adjust dynamically by vehicle type: precision-focused for passenger cars, stability-weighted for trucks, passenger safety-prioritised for buses. Dual-Camera Architecture - Road-facing and driver-facing cameras feed a unified AI pipeline, enabling simultaneous environmental and driver-state awareness. Level 2/3 Autonomy Compatibility - The system is architecturally compatible with Level 2 and Level 3 autonomous driving implementations, including Autonomous Emergency Braking, lane-keep assist, and advanced path planning for complex traffic scenarios. The architecture is designed to scale toward higher autonomy levels as regulatory frameworks and vehicle platforms evolve."