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drivebuddyAI secures patent for driver scoring algorithm

Mar 31, 2025 - telematicswire.net
drivebuddyAI has been granted a patent for its CARD (Cognitive Assessment of Risk for Drivers) algorithm, which utilizes AI, computer vision, and real-time vehicle monitoring to assess driver behavior and risk. The CARD system integrates data from Advanced Driver Assistance Systems (ADAS) and Driver Monitoring Systems (DMS) to provide a comprehensive risk profile, enabling fleet managers to make informed decisions on driver assignments and risk mitigation. The algorithm considers factors such as driver alert compliance, behavioral coaching history, and positive driving behaviors, aiming to improve driver safety and fleet efficiency. With over 1 billion kilometers of driving data analyzed, drivebuddyAI's system boasts a 92% accuracy rate in detecting risk-prone behaviors and promises measurable driver improvement within six months.

The CARD technology also benefits insurance providers by enhancing risk assessment for usage-based insurance and improving claims processing. The system encourages better driving habits through meaningful feedback and has shown to reduce critical events by 85% for logistics customers. drivebuddyAI, based in Ahmedabad, focuses on reducing road accidents through its advanced ADAS and DMS technologies, working with auto OEMs to integrate its AI technology into vehicles. Roadzen, a global technology company, supports drivebuddyAI's innovation, emphasizing the importance of data-driven risk reduction and safer mobility solutions.

Key takeaways:

  • drivebuddyAI has been granted a patent for its CARD algorithm, which uses AI, computer vision, and real-time vehicle monitoring to assess driver behavior and risk.
  • The CARD algorithm integrates data from ADAS and DMS to provide a comprehensive risk profile, enabling fleet managers to make data-backed decisions on driver assignments and risk mitigation.
  • drivebuddyAI's system has analyzed over 1 billion kilometers of driving data, achieving a 92% accuracy rate in detecting risk-prone behaviors, and has shown measurable driver improvement within 6 months.
  • Insurance providers can use CARD data for usage-based insurance, enhancing claims processing, and improving FNOL accuracy, contributing to a safer driving ecosystem.
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