Foretellix has announced the integration of its Foretify physical AI toolchain with the Nvidia Drive AV platform to enable advanced methods for training, testing, validation and safety evaluation in autonomous driving development. The integration connects Foretellix’s coverage-driven verification and validation capabilities and synthetic data generation (SDG) technology with Nvidia’s end-to-end AV software stack.
Foretellix offers a physical AI toolchain designed to support the safe development of autonomous vehicles. The solution enables safety evaluation, coverage-driven verification and synthetic data generation for training, testing and validating autonomous driving systems. It enables AI-powered vehicle stacks to be tested against a wide range of realistic driving scenarios and critical edge cases.
“Safety will define the future of physical AI. We are excited to collaborate with Nvidia on this mission to make the Drive AV end-to-end stack safe by jointly working on the training, validation, evaluation and coverage essential for large-scale, real-world deployment,” said Ziv Binyamini, CEO and co-founder at Foretellix.
Autonomous vehicle developers use Foretellix’s development toolchain to evaluate driving scenarios, identify performance and safety gaps during development and generate targeted scenarios to address them. This continuous evaluation process supports the safe and efficient advancement of AI systems for real-world autonomous driving applications.
“Our collaboration with Foretellix integrates complementary technologies to strengthen the safety foundation of the autonomous vehicle industry,” said Xinzhou Wu, vice president, head of automotive at Nvidia.
“By combining the Nvidia Drive AV end-to-end stack with Foretellix’s physical AI toolchain for large-scale, scenario-based validation, we’re helping advance industry-wide standards for transparency, robustness and safety. Together, we’re enabling Nvidia developers to design, test and safely deploy AI-powered vehicles with greater confidence and scale.”
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