Foretellix, a leader in data automation for AI-powered autonomy, announced an expansion of its Foretify platform to help autonomous vehicle developers reduce development time by half and save substantial financial resources. The platform addresses the challenges faced by autonomous vehicle developers in the realm of physical AI, offering solutions to train AI engines using real drive data augmented with hyper-realistic synthetic data. The necessity of validating autonomous vehicle systems for safety across realistic scenarios is emphasized to enable their widespread deployment. The Foretify toolchain, enhanced through collaboration with NVIDIA Omniverse and Cosmos, provides autonomous vehicle developers with diverse and highly realistic sensor simulation data. This facilitates efficient training of autonomous vehicle stacks and enhances operational safety within specific operational design domain (ODD).

Foretellix, backed by significant investors such as Toyota's Woven Capital, Temasek, Volvo and NVIDIA, was founded by experts from organizations including Verisity, Intel and Cadence Design Systems. These pioneers have applied coverage-driven methodologies, verification and validation techniques, which are now standard in the semiconductor industry, to form the basis of Foretify. Foretellix's clientele includes notable names such as Daimler Truck subsidiary Torc, Volvo, Mazda, Woven by Toyota, and Nuro. The platform is already being utilized in diverse ventures, from urban and highway ODD to large-scale scenario generation and validation.

The Foretify platform has recently enhanced its simulation capabilities through integration with NVIDIA's Omniverse and Cosmos. This integration has been recognized with the Simulation Innovation of the Year award at the 2025 Automotive Testing Technology International Awards. According to Foretellix's CEO and Co-founder Ziv Binyamini, the intelligent, data-driven approach of Foretify addresses AI limitations, fostering innovation and democratizing access to autonomous vehicle development.

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