Ahmedabad-based drivebuddyAI showcased its advanced AI-driven mobility technology at CES 2026, drawing strong interest from global industry leaders. The company presented its comprehensive AI platform designed to improve safety, efficiency, and intelligence across the mobility ecosystem, serving fleets, auto OEMs, insurers, and smart city planners.
Throughout CES, drivebuddyAI’s booth saw steady footfall and high engagement from attendees. The company’s live demonstrations and real-world use cases captured attention and sparked in-depth discussions with automotive, insurance, and mobility professionals. The positive feedback and follow-up conversations highlighted strong market interest and positioned the company’s CES participation as a meaningful success.
The AI platform is built on insights derived from more than 3.5 billion kilometers of real-world driving data collected across India and Europe, covering diverse road, traffic, and behavioral conditions. Already deployed across large fleet operations in India and other global markets, the technology has delivered measurable outcomes, including an 83% reduction in drowsiness events, an 86% improvement in Journey Risk Management (JRM) compliance, and a 72% reduction in overall fleet risk.
Insurance providers are actively leveraging the platform’s capabilities—particularly the Fleet Safety Index and predictive risk scoring—to develop usage-based insurance (UBI) products for commercial vehicles. The system also enables video-based First Notice of Loss (FNOL) workflows, contributing to improved loss and claim ratios through enhanced driver safety and incident transparency.
Auto OEMs are exploring integrations to accelerate development cycles and reduce validation costs by adopting pre-certified AI models trained on billions of real-world driving kilometers. Beyond vehicles, drivebuddyAI plans to extend the platform’s reach to mapping and smart city applications, enabling data-driven urban planning. Key capabilities include geo-tagged video intelligence, road-condition assessment, traffic behavior analysis, network-strength mapping, and black-spot identification—critical inputs for infrastructure modernization and safer urban mobility.
The platform ingests data from multiple high dynamic range (HDR) cameras and the vehicle’s Controller Area Network (CAN). Processing is performed on-vehicle using patented AI models that power features such as Driver and Occupant Monitoring, Forward Collision Warning, Lane Departure Warning, Blind Spot Detection, and Moving-Off Information Systems. These functions operate in real time on a QNX/Linux-based edge computing system.
A federated learning architecture ensures data privacy while enabling continuous improvement of AI models. Updated models are deployed over-the-air (OTA) across vehicle fleets, while actionable insights are delivered to fleets, insurers, OEMs, and mapping partners through secure cloud APIs.
Commenting on the CES response, Nisarg Pandya, Founder and CEO of drivebuddyAI, said “The interest we saw at CES exceeded our expectations. Visitors were highly engaged with the real-world impact of our technology. Across large commercial fleet deployments, our platform has already demonstrated accident reductions of over 70%. Our solutions are validated by global regulatory bodies, including ARAI under India’s AIS-184 standard, the European Union’s GSR 2144, and the EURO NCAP 2026 protocol. The platform is also aligned with requirements from the NHTSA and FMCSA in the United States. We are excited to expand into new markets and scale our impact globally.” With proven performance and regulatory readiness, drivebuddyAI continues to advance its mission of making mobility safer, smarter, and more efficient for fleets, cities, and communities worldwide.
Headquartered in Ahmedabad, drivebuddyAI is a leading provider of AI-powered Advanced Driver Assistance Systems (ADAS) and Driver Monitoring Systems (DMS) for commercial fleets, auto OEMs, and Tier-I suppliers. The company serves industries including e-commerce logistics, hazardous chemical transport, employee mobility, and passenger transportation, while also supporting regulatory ADAS and DMS compliance.
