TEL AVIV, Israel and SAN FRANCISCO, CA, Nov 7, 2025 – Foretellix and Parallel Domain have announced a partnership to develop a simulation platform for testing autonomous vehicles (AV). The platform combines scenario-based validation with photorealistic sensor simulation (camera, radar, lidar), and digital twins generated from drive logs to support end-to-end autonomous system validation.
Foretellix provides scenario-based validation that includes automated scenario generation, execution, and KPI-driven coverage analysis. Parallel Domain adds photorealistic reconstructions generated from drive logs and annotated lidar, radar, and camera data. Together, the tools enable developers to recreate real-time conditions and analyze cases with sensor context.
“As AV stacks become increasingly AI-driven, validating the full pipeline from perception to planning requires realism, scale, and control,” said Ziv Binyamini, CEO and co-Founder of Foretellix. “This partnership underscores Foretellix’s commitment to an open ecosystem where customers can seamlessly connect the latest industry innovations with our solutions, accelerating the path to more powerful and flexible safety validation.”
“Parallel Domain’s mission is to make simulation indistinguishable from the real world,” said Kevin McNamara, CEO and founder of Parallel Domain. “By integrating with Foretellix’s Physical AI Toolchain, we’re helping AV teams test smarter, faster, and with greater confidence in real-world behavior.”
Source: Foretellix
About Foretellix
Foretellix, headquartered in Israel, develops software for verifying and validating driver-assistance systems and autonomous vehicles. Founded in 2017, the company serves the automotive, trucking, and mining industries through its Foretify platform, which provides scenario-based testing and safety evaluation.
About Parallel Domain
Parallel Domain, based in San Francisco, develops synthetic data and simulation software for machine learning, computer vision, and perception systems. Founded in 2017, the company provides APIs, SDKs, and web-based tools that generate large-scale camera, lidar, and radar data to train and test autonomous systems. It serves industries such as automotive, drones, robotics, agriculture, warehouse automation, and security.