Cadillac Hertz Team JOTA has revealed that it is ramping up its use of artificial intelligence (AI) for off-track performance testing, via a new partnership with Monolith, an AI software provider.
The agreement sees JOTA implement Monolith’s AI solution across a broad range of its motorsport activities. Monolith’s ‘Next Test Recommender’ (NTR) programme is at the centre of the partnership. The solution analyses engineers’ data inputs to automatically rank the most impactful tests and setups to run, working with the Monolith Test Plan Optimisation (TPO) to deliver an optimised, highly efficient test programme for the team’s V-Series.Rs.
Cadillac Hertz Team JOTA engineering personnel combine the Monolith platform with their MATLAB analytics suite and existing workflows, creating a powerful approach for vehicle dynamics analysis and optimisation.
“Our focus is always on extracting maximum performance from every aspect of the car. MonolithAI enables us to interrogate complex datasets with speed and precision. By integrating their AI tools into our workflow, we’re able to make smarter decisions faster – ultimately helping us try and stay competitive at the highest level of endurance racing,” says Tomoki Takahashi, technical director at Cadillac Hertz Team JOTA.
JOTA says its engineers harnessed Monolith’s NTR and TPO solutions with their powerful min/max optimisation modules to transform their approach to vehicle dynamics. By visualising and analysing specific design parameters across different suspension-damping configurations, the team was able to identify performance sweet spots significantly faster than through traditional methods.
This data-driven methodology has proven valuable on test rigs, enabling refinements that achieved notable reductions in tyre Contact Patch Load and improved pitch control during acceleration.
When applied across multiple vehicle characteristics while accounting for complex input/output relationships, these seemingly minor enhancements collectively deliver the decisive margins that translate into performance advantages in hypercar competition.
