In context
In early 2025, the automotive industry was intensifying efforts to develop autonomous vehicles, with a growing emphasis on virtual simulation to handle the complexity of AD/ADAS systems. This partnership reflects a broader trend of using data-driven toolchains to validate safety and performance before physical testing.
What was reported
Foretellix, a provider of data-driven autonomy development toolchains, and MathWorks, known for mathematical computing software, announced a collaboration to support Mazda's next-generation autonomous vehicle development. The integration combines Foretellix's Foretify platform with MathWorks' Simulink and Automated Driving Toolbox, enabling developers to generate, execute, and analyze large-scale scenarios in a virtual environment.
This technology stack allows Mazda to convert real-world driving data into simulation scenarios, which are automatically analyzed for coverage gaps, safety performance, and system robustness. The Foretellix platform automatically generates an unlimited number of concrete, relevant, and valid scenarios, executed within the MathWorks simulation environment, providing tools to measure test coverage, KPIs, and safety checks.
Mazda's Yasuhide Yano noted that using these tools enables efficient and exhaustive verification in a virtual environment, helping achieve goals in a short period while contributing to sustainability with a zero-carbon footprint. Executives from both companies highlighted benefits such as accelerated testing timelines, reduced development costs, and improved system safety.
Why it mattered
This collaboration underscores the shift toward virtual validation in automotive automation, allowing OEMs to identify edge cases and coverage gaps earlier, thereby reducing time-to-market and enhancing safety. It also demonstrates how integrated toolchains can support the expansion of Operational Design Domains (ODDs) efficiently, a critical step for scalable autonomous driving.
“In the development of next-generation AD/ADAS systems, which are becoming more and more complex, it is very important to identify potential risks and improve system quality from the early stages of development in order to achieve zero accidents.”
Source: Robotics & Automation News (roboticsandautomationnews.com) · Published 2025-02-10 · “Foretellix and MathWorks partner to develop autonomous vehicles for Mazda”