Foretellix's Integration of Safety Toolchain with NVIDIA DRIVE AV Platform Enhances Autonomous Driving
Foretellix Integrates Safety and Validation Toolchain with NVIDIA DRIVE AV Platform
In an exciting development for the autonomous vehicle industry, Foretellix has announced the integration of its innovative Foretify Physical AI toolchain with NVIDIA's DRIVE AV platform. This collaboration aims to enhance the training, testing, validation, and safety evaluation processes integral to the development of autonomous vehicles. By combining Foretellix's cutting-edge verification and validation capabilities with NVIDIA's comprehensive software stack, this partnership is set to significantly advance the industry's efforts towards achieving safer levels of autonomy, specifically L2++, L3, and L4.
A Milestone in Technology Integration
The collaboration marks an important milestone in the relationship between Foretellix and NVIDIA, a relationship that initially began when NVIDIA invested in Foretellix's Series C funding. Through this partnership, both companies have worked closely to blend their respective technologies, particularly integrating tools such as NVIDIA Omniverse and NVIDIA Cosmos into the Foretify toolchain.
Foretellix stands as a leader in Physical AI toolchain solutions, providing a suite of tools that facilitates inclusive safety evaluations, coverage-driven verification, and synthetic data generation for the training, testing, and validation of autonomous vehicle systems. The Foretellix toolchain is designed to simulate a vast array of realistic driving environments, helping developers to assess AI performance and safety during vehicle development.
One of the standout features of the Foretellix toolchain is its ability to identify performance gaps and safety concerns in autonomous driving scenarios, enabling developers to create targeted scenarios to address these issues effectively. This structured evaluation process is crucial for ensuring that the deployment of AI in real-world settings is as safe as possible.
Collaborative Efforts Toward a Safer Future
Ziv Binyamini, CEO and Co-Founder of Foretellix, emphasized the importance of safety in the evolution of Physical AI. He stated, “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.”
From NVIDIA’s perspective, Xinzhou Wu, Vice President of Automotive, articulated the benefits of the integration: “Our collaboration with Foretellix integrates complementary technologies to strengthen the safety foundation of the autonomous vehicle industry. 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.”
About Foretellix
Founded on the vision to enhance the safety and reliability of autonomous vehicles, Foretellix has established itself as a key player in the development of technologies that empower OEMs and AV developers. With its base in regions such as the US, Europe, and Asia, Foretellix is spearheading the transition towards smarter, AI-driven autonomy. Their Foretify Physical AI toolchain is recognized for accelerating training, validation, and safety evaluations, ensuring that AI technologies meet stringent safety benchmarks necessary for practical deployment in everyday situations.
The collaboration between Foretellix and NVIDIA is anticipated to drive significant improvements in autonomous vehicle technologies, aiming not only for speed in development but also a high standard of safety that can influence future innovations in the industry. This integration is a clear indication of the continuous effort to refine technology and uphold safety standards, critical for gaining public trust in autonomous driving solutions.