drivebuddyAI Uses Indian Road Data to Advance Driver Monitoring and ADAS Technology

Key Highlights

• drivebuddyAI develops AI-powered driver monitoring and ADAS for fleets and manufacturers
• Company uses Indian road data to train its algorithms for complex traffic environments
• Roadzen owns 75 percent of drivebuddyAI and has invested about 5 million dollars
• System issues real-time voice alerts for risky driver behaviors in multiple languages

Company Origins and Approach

drivebuddyAI began as an aftermarket AI dashcam provider for fleets. Nisarg Pandya, the founder, identified that existing tools like telematics and basic dashcams could not intervene in real-time to prevent accidents. He decided to build a system from scratch, including hardware, software, and AI models tailored to Indian conditions.

Unlike many competitors, drivebuddyAI did not adapt foreign models. Instead, it collected its own data from Indian roads, which feature unpredictable traffic patterns, varied vehicle types, and inconsistent lane discipline. The team built six or seven prototypes and tested them across different vehicle categories, combining external and internal monitoring. One camera watched the road, while another monitored the driver.

Pandya’s background in electronics and embedded system design influenced the company’s technical focus. The early team was small, with much of the core work completed by three or four engineers. Today, drivebuddyAI employs around 25 people, with 15 in engineering roles.

Investment and Expansion

In 2019, drivebuddyAI secured investment from Roadzen, an insurtech and mobility technology company now listed on Nasdaq. Roadzen owns 75% of drivebuddyAI, while the founding team retains 25%. The first significant funding arrived in March 2020, coinciding with the onset of the Covid-19 pandemic. Since then, Roadzen has invested about $5 million in the company.

This partnership supports drivebuddyAI’s broader ambitions. In India, ADAS, telematics, and insurance have developed separately, but in markets like the US, they are closely linked. drivebuddyAI aims to bridge these areas, offering technology to fleet operators, vehicle manufacturers, Tier-1 suppliers, and insurance companies. The company is also preparing to enter global markets.

Technology and Impact

drivebuddyAI’s system monitors both the road and the driver. It detects behaviors such as phone use, not wearing a seatbelt, fatigue, or risky driving. The device issues real-time voice alerts, which can be delivered in regional languages. The goal is to act as an in-cabin assistant rather than a surveillance tool.

By training its AI on Indian road data, drivebuddyAI believes its technology can adapt to complex environments worldwide. The company continues to expand its platform, now including driver monitoring systems, fleet analytics, and insurance-linked risk scoring.