Foretellix, a leading provider of data-automation for AI-powered autonomy, has announced a significant expansion of its Foretify platform. This enhancement is set to enable Autonomous Vehicle (AV) developers to dramatically cut down development time and achieve substantial cost savings. By leveraging the generation of high-fidelity sensor data through NVIDIA Omniverse and Cosmos, Foretellix is pioneering a safer and quicker route to driverless mobility, addressing key challenges in the emergent physical AI frontier.
The advent of physical AI presents immense opportunities for AV developers to expedite the transition to fully autonomous vehicles. However, realizing the full potential of AI-driven development requires overcoming three critical challenges. Firstly, AV developers need efficient methods to train AI engines by maximizing the value of existing drive data and augmenting it with hyper-realistic synthetic data. Secondly, the unpredictable nature of AI-powered technology necessitates robust validation to ensure the AV stack is safe in any realistic scenario, a paramount concern for scalable autonomy. Lastly, the mobility industry—including fleet operators, AV developers, and insurance companies—requires an independent, data-driven evaluation framework to accurately measure the safety of these autonomous systems prior to public deployment.
Foretellix developed its Foretify data automation toolchain precisely to address these issues. The platform trains AI-powered AV stacks by automatically curating training data from real-world driven miles and enhancing it with generated synthetic scenarios. This toolchain also provides diverse sensor simulation data, further augmented with hyper-realistic variations generated using NVIDIA Omniverse and Cosmos. Through the generation of massive amounts of realistic synthetic data, the AI-powered AV stack is validated, increasing the efficiency of achieving an optimal level of operational safety within a specific Operational Design Domain (ODD) by tenfold. Moreover, Foretify employs a data-driven safety evaluation framework to assess the performance of both real-world and simulation drive data, measuring coverage to provide independent evidence for the system's safety case.
Foretellix is backed by prominent investors including Toyota's Woven Capital, Temasek, Volvo, and NVIDIA. The company was founded by pioneers in data-driven verification and validation tools for complex systems. The seminal work of the founding team in coverage-driven methodologies, verification, and validation at Verisity, Intel, and Cadence Design Systems is now widely adopted in the semiconductor industry and forms the foundational basis of Foretify. Foretellix boasts an impressive roster of customers, including Daimler Truck subsidiary Torc, Volvo, Mazda, Woven by Toyota, and Nuro.
"We use Foretellix as part of our validation stack combining large-scale scenario generation of both Urban and Highway ODD with analysis of real-world logs" said Tilo Schwarz, Vice President of Engineering, Nuro Driver™.
"Foretellix is a valued partner in our mission to commercialize autonomous trucks by 2027" said Torc CEO Peter Vaughan Schmidt. "Their Data-Automation Toolchain enables the large-scale simulation and rigorous scenario testing essential to validating our physical AI level-4 autonomous system and ensuring that safety remains at the core of everything we do."
"Physical AI creates a fast lane to autonomy that will ultimately improve our quality of life and help save millions of lives, but making it a reality requires an intelligent, data-driven approach to address AI's inherent limitations," says Ziv Binyamini, CEO and Co-Founder of Foretellix. "Training, validating and providing evidence of autonomous systems' safety are the key drivers for this industry to progress. Foretellix's solution helps foster innovation and reduce the barriers to entry for AV developers, vehicle manufacturers and entrepreneurs, democratizing the road to driverless autonomy."
Foretify recently expanded its simulation capabilities through its integration with the NVIDIA Omniverse Blueprint for Autonomous Vehicle (AV) Simulation and the NVIDIA Cosmos Transfer World Foundation Model. The incorporation of hyper-realistic sensor simulation into Foretify's behavioral scenario simulation accelerates AI-powered AV training and validation, leading to faster development and deployment.
"By leveraging NVIDIA Omniverse and NVIDIA Cosmos, the Foretify toolchain can evaluate and generate high-fidelity testing scenarios and training data at scale," said Zvi Greenstein, General Manager, Autonomous Vehicles Infrastructure at NVIDIA. "Foretellix's data-automation toolchain delivers the training, validation and safety evaluation data required to safely deploy AI-powered autonomy"
The synergistic integration of Foretellix's Foretify behavior simulation technology with NVIDIA's sensor simulation technology has garnered significant industry recognition, earning the Simulation Innovation of the Year award at the 2025 Automotive Testing Technology International Awards.
"The complexity of the traffic environment and its edge cases requires efficient ways of generating reliable test scenarios. The ability to provide varied and high-quality synthetic data is key to unlocking this problem." Dr Huw Davies, senior lecturer, Centre for Future Transport and Cities, Coventry University.
Foretellix is the leading provider of data-automation for AI-powered autonomy. Foretellix delivers the trusted development toolchain for training and validating AI-powered autonomous vehicle stacks that enables OEMs and AV developers to build next-generation AV technology with measurable efficiency, safety, and scale. Foretellix's industry-leading training and validation capabilities are enabling and accelerating the shift to intelligent AI-powered autonomy. Foretellix has offices in the US, Europe, and Asia.
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