#Israel #Tel Aviv #AV Technology #Foretellix #Parallel Domain

The Future of Autonomous Vehicles: Enhancing Simulation Through Collaboration

In a groundbreaking move, Foretellix, known for its innovative Physical AI toolchain dedicated to the validation of autonomous vehicles, has partnered with Parallel Domain, a leader in sensor simulation technology. This alliance aims to revolutionize the development and testing process of autonomous vehicles (AVs) through the introduction of hyper-realistic digital twins.

The Need for Realism in Automation

As the complexity of autonomous vehicle systems increases, so do the challenges faced by validation teams tasked with ensuring safety and efficiency. The traditional methods of testing AVs often fall short as they lack both the controllability and realism required for comprehensive evaluations. The ideal scenario would allow developers to conduct tests that closely mirror real-world driving experiences, addressing the challenges posed by varying environmental conditions.

Creating Hyper Realistic Digital Twins

The collaboration between Foretellix and Parallel Domain aims to provide a powerful solution by merging scenario-based testing with photorealistic sensor simulations. This union facilitates the generation of digital twins from actual driving logs, enhancing the entire testing process from perception to planning.

Through this new solution, developers can validate the end-to-end models of their systems — covering perception, planning, and control subsystems — under various road and traffic situations. This approach promises to deliver a more extensive statistical safety coverage that is difficult to achieve through real-world tests alone.

Addressing Scalability Challenges

Validation teams now face scalability challenges as AV systems continue to grow in complexity. The integration of Foretellix's advanced scenario validation capabilities with Parallel Domain's scene reconstruction and realistic sensor simulation allows for a new level of performance. Development teams can now experience how changes in perception data directly influence planning decisions within a definitive, metrics-driven workflow.

Ziv Binyamini, CEO and Co-Founder of Foretellix, emphasized the importance of this partnership: "As AV stacks become increasingly AI-driven, validating the full pipeline from perception to planning requires realism, scale, and control. This collaboration aims to provide customers with an ecosystem where they can harness the latest innovations seamlessly, accelerating their effort in achieving powerful and flexible safety validation."

A New Era for Autonomous Vehicles

Parallel Domain's CEO, Kevin McNamara, added, "Our mission is to create simulations indistinguishable from real-world environments. By collaborating with Foretellix, we are enabling AV teams to conduct smarter tests, ensuring they are faster and can achieve greater reliability in real-world conditions."

The combined solution not only streamlines the testing process but also allows teams to recreate real-world conditions and tackle edge cases while having a complete sensor context. This integrated approach is set to transform the landscape of AV development profoundly.

About the Companies

Foretellix stands at the forefront of developing safe autonomous vehicles, enabling manufacturers to increase the reliability and efficiency of next-generation AV technology. With offices across the globe, they continue to push for greater intelligence and AI-driven autonomy in the industry.

Meanwhile, Parallel Domain excels in providing realistic sensor simulation and scene reconstruction, empowering teams to accelerate safety measures in autonomous systems. As they gear up for a live demonstration at CES 2026, the anticipation for their innovative technologies is palpable.

Conclusion

This partnership not only signals a significant leap forward in the AV industry but also exemplifies the collaborative efforts being made to enhance safety through technology. As Foretellix and Parallel Domain work together, the promise of a safer, more efficient future for autonomous vehicles becomes increasingly attainable.