Foretellix, a provider of scenario-based validation tools for autonomous vehicles, and Parallel Domain, a company specializing in sensor simulation and neural reconstruction, have announced a strategic partnership to develop a new simulation solution for autonomous vehicle (AV) testing.
The platform combines scenario-based testing with photorealistic sensor simulation—including camera, radar and lidar—within digital twins generated from drive logs, enabling closed-loop validation from perception through planning for end-to-end models.
As AV systems become more complex and increasingly AI-driven, validation teams are facing challenges in scaling up their testing and ensuring system safety. The joint solution aims to connect perception inputs directly to planning decisions, allowing developers to test under a variety of traffic, road and weather conditions with greater control and realism.
Ziv Binyamini, CEO and Co-Founder of Foretellix, said the partnership reflects the company’s commitment to supporting an open ecosystem for AV testing. “This partnership underscores Foretellix’s commitment to an open ecosystem where customers can seamlessly connect the latest industry innovations with our solutions,” he said.
Kevin McNamara, CEO and Founder of Parallel Domain, said the collaboration would enhance the ability of AV developers to test their systems more efficiently. “By integrating with Foretellix’s Physical AI Toolchain, we’re helping AV teams test smarter, faster, and with greater confidence in real-world behavior,” he said.
