Nexar has launched BADAS (Beyond ADAS), an advanced AI foundation model designed to enhance vehicle safety and autonomy by utilizing real-world driving data.

This approach signifies a shift from traditional lab-based development to integrating extensive real-road data, tackling industry safety issues like pedestrian fatalities and reactive driver-assistance systems by enabling proactive safety measures.

An interactive simulation demonstrates BADAS's ability to predict and respond to real-world driving situations, highlighting its superiority over previous AI models trained in controlled environments.

Nexar offers live safety solutions through APIs and SDKs, providing real-time road intelligence such as crash alerts and risk assessments to various mobility partners.

BADAS was trained on over 10 billion miles of actual road driving and 60 million annotated edge-case events collected from Nexar’s global network of more than 350,000 connected devices, emphasizing real-world scenarios over simulations.

It continuously improves by integrating new real-world data, aiming to predict and preempt road events more effectively than conventional models.

Overall, BADAS significantly outperforms existing models in safety and autonomous driving progress, addressing the industry's longstanding safety challenges.

The new model surpasses traditional simulation-trained models in critical safety benchmarks, demonstrating better incident prediction and behavioral foresight, and can anticipate dangerous scenarios before they happen.