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Foretellix

Private

Foretellix is the leading enabler of safe autonomous vehicles. Its Physical AI toolchain accelerates the training, validation and safety evaluation of autonomous vehicles, making AI safe for the physical world. Foretellix empowers OEMs and AV developers to build next-generation AV technology with measurable safety, efficiency, and scale. With offices in the US, Europe, and Asia, Foretellix is driving the shift to intelligent, AI-powered autonomy. For more information, visit foretellix.com

Founded

autonomous robotics AV autonomous vehicles self driving cars

About Foretellix

Foretellix delivers the industry’s leading Physical AI toolchain for the development, training and validation of safe autonomous vehicles.

Latest Updates

June 1, 2026Company MilestoneCorporate

Foretellix Unveils Reference Solution Integrating NVIDIA Alpamayo to Scale AI Autonomous Vehicle Development

Foretellix, provider of safety and data infrastructure for physical AI, today announced its Reference Solution for the NVIDIA Alpamayo ecosystem. Foretellix enables developers building AI-powered autonomous driving systems to accelerate data curation, synthetic data generation (SDG), testing, and validation workflows. Foretellix’s reference solution empowers any AI-powered autonomous driving development environment with the guidance, methodology and tools required to train and validate their AV stacks with greater confidence and scale. “The shift to AI-driven autonomy fundamentally changes how autonomous vehicle systems are developed and validated,” said Ziv Binyamini, CEO and Co-Founder of Foretellix. “Developers can no longer rely on traditional software validation approaches. Our NVIDIA Alpamayo-based reference solution demonstrates the Foretellix data-centric infrastructure required to train, validate, and safely scale next-generation AI driving systems.” Data-Centric Infrastructure for Physical AI The workflow begins with the denoising of AV drive logs, which is fundamental to extracting the ground truth from data. This process enables both temporal scenario labelling and synthetic scenario design, allowing developers to accurately replicate specific scenarios or create controlled variations of them. This foundational step is followed by data curation and warehouse exploration, where developers identify high-value driving segments to serve as the baseline for synthetic data generation. V&V engineers gain immediate visibility into the specific operational design domain (ODD) areas the system has encountered or tested across both virtual and real-world environments. The Foretellix solution organizes this data into a structured warehouse rather than a disorganized data lake. Closing ODD Gaps with Synthetic Data Generation Behavioral ODD coverage analysis and SDG are central to the Physical AI Toolchain. The toolchain identifies specific gaps in the ODD, allowing test engineers to design and edit new synthetic scenarios that directly fill the coverage gaps. Safety and Scalability Through the Foretellix Foretify scenario designer, integrated with NVIDIA Omniverse NuRec, engineers can modify actor behavior or add new actors in reconstructed scenes to analyze ODD completeness. These scenes can be further enhanced and augmented with NVIDIA Cosmos. Generating diverse scenarios at scale is key to validating that the stack is ready for safe deployment in complex physical environments.

Foretellix Team

Ziv BinyaminiCEO & Co-Founder

Foretellix History

December 5, 2023
Foretellix Raises $85 Million in Series C Closing
Foretellix, the leading provider of safety-driven verification and validation (V&V) solutions for Automated Driving Systems and Advanced Driver Assistance Systems (ADAS), has announced today that it closed a Series C funding round of $85 million, bringing its total raised capital to $135 million. The funding round was led by 83North. The new investors Temasek and Isuzu joined Woven Capital – the growth fund of Toyota – NVIDIA, and Artofin, which participated in the first closing earlier this year. All major existing shareholders participated, including MoreTech, Nationwide, Volvo Group VC, Jump Capital, Next Gear Ventures, and OurCrowd. Foretellix will use the funding to accelerate the development of its expanding product portfolio and address the growing worldwide demand for its solutions.
June 1, 2026
Foretellix Unveils Reference Solution Integrating NVIDIA Alpamayo to Scale AI Autonomous Vehicle Development
Foretellix, provider of safety and data infrastructure for physical AI, today announced its Reference Solution for the NVIDIA Alpamayo ecosystem. Foretellix enables developers building AI-powered autonomous driving systems to accelerate data curation, synthetic data generation (SDG), testing, and validation workflows. Foretellix’s reference solution empowers any AI-powered autonomous driving development environment with the guidance, methodology and tools required to train and validate their AV stacks with greater confidence and scale. “The shift to AI-driven autonomy fundamentally changes how autonomous vehicle systems are developed and validated,” said Ziv Binyamini, CEO and Co-Founder of Foretellix. “Developers can no longer rely on traditional software validation approaches. Our NVIDIA Alpamayo-based reference solution demonstrates the Foretellix data-centric infrastructure required to train, validate, and safely scale next-generation AI driving systems.” Data-Centric Infrastructure for Physical AI The workflow begins with the denoising of AV drive logs, which is fundamental to extracting the ground truth from data. This process enables both temporal scenario labelling and synthetic scenario design, allowing developers to accurately replicate specific scenarios or create controlled variations of them. This foundational step is followed by data curation and warehouse exploration, where developers identify high-value driving segments to serve as the baseline for synthetic data generation. V&V engineers gain immediate visibility into the specific operational design domain (ODD) areas the system has encountered or tested across both virtual and real-world environments. The Foretellix solution organizes this data into a structured warehouse rather than a disorganized data lake. Closing ODD Gaps with Synthetic Data Generation Behavioral ODD coverage analysis and SDG are central to the Physical AI Toolchain. The toolchain identifies specific gaps in the ODD, allowing test engineers to design and edit new synthetic scenarios that directly fill the coverage gaps. Safety and Scalability Through the Foretellix Foretify scenario designer, integrated with NVIDIA Omniverse NuRec, engineers can modify actor behavior or add new actors in reconstructed scenes to analyze ODD completeness. These scenes can be further enhanced and augmented with NVIDIA Cosmos. Generating diverse scenarios at scale is key to validating that the stack is ready for safe deployment in complex physical environments.