SUNNYVALE, CA, June 10, 2026 – Foretellix’s reference solution for the NVIDIA Alpamayo ecosystem targets data curation, synthetic data generation (SDG), testing, and validation workflows for AI-powered autonomous driving systems. The solution provides developers with methodology and tools for training and validating vehicle stacks in AI-powered development environments.
“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 by denoising AV drive logs to extract ground truth from data. The process supports temporal scenario labeling and synthetic scenario design, allowing developers to replicate specific scenarios or create controlled variations.
In the data curation and warehouse exploration stage, developers identify high-value driving segments as the baseline for synthetic data generation. Validation and verification engineers can review the operational design domain (ODD) areas the system has encountered or tested across virtual and real-world environments. Foretellix organizes the data in a structured warehouse rather than an unstructured data lake.
Closing ODD Gaps with Synthetic Data Generation
Behavioral ODD coverage analysis and synthetic data generation are central to the Physical AI Toolchain. The toolchain identifies gaps in the ODD so test engineers can design and edit synthetic scenarios that address those gaps.
Safety and Scalability
Foretellix said engineers can use the Foretify scenario designer, integrated with NVIDIA Omniverse NuRec, to modify actor behavior or add actors in reconstructed scenes to analyze ODD completeness. The scenes can also be enhanced and augmented with NVIDIA Cosmos. Generating diverse scenarios supports validation of autonomous driving stacks for deployment in complex physical environments.
Source: Foretellix
About Foretellix
Foretellix is a software company based in Ramat Gan, Israel. Founded in 2018, the company develops Foretify, a toolchain for testing autonomous driving and physical AI systems. Its software supports data curation, scenario generation, simulation, verification and validation. Foretellix serves automotive manufacturers, autonomous vehicle developers, trucking companies, mining operators and technology suppliers. Its products include Foretify Toolchain, Foretify Evaluate and Foretify Generate. The company uses real-world driving data, synthetic data and test scenarios to evaluate system behavior before deployment. Foretellix has offices in the United States, Germany, Japan and China.