Cadillac Hertz Team JOTA is using artificial intelligence software from Monolith to improve off-track performance testing for its Hypercar programme in the FIA World Endurance Championship. The team has integrated Monolith’s machine learning tools into its engineering processes to streamline setup development, reduce testing time, and enhance vehicle performance.
Monolith’s ‘Next Test Recommender’ (NTR) tool analyses engineering data to prioritise the most impactful tests, working alongside its Test Plan Optimisation (TPO) software to deliver efficient and targeted test programmes. Together, these tools are designed to reduce redundant testing and accelerate performance gains.
According to the team, Monolith’s software has supported analysis of parameters such as tyre contact patch load and pitch during acceleration. By combining Monolith’s AI tools with existing platforms like MATLAB, engineers identified optimal suspension-damping configurations and achieved a reported 3 percent reduction in contact patch load.
Tomoki Takahashi, Technical Director at Cadillac Hertz Team JOTA, said the integration of AI into the team’s workflows allows engineers to process complex datasets quickly and make informed decisions aimed at staying competitive.
Monolith provides no-code, machine learning software designed to shorten development cycles by generating performance predictions based on existing test data. Its tools, including NTR and an AI-powered anomaly detection system, are being adopted across the motorsport and automotive sectors.
