MOZA Racing used Gamescom 2026 to show its Racing Lab AI Coach in one of its clearest demonstrations so far. Instead of limiting the presentation to telemetry graphs and automated laps, MOZA placed the system against Jarno Opmeer and Porsche Carrera Cup driver Dirk Schouten at Spa-Francorchamps, using a Porsche 991 GT3 R and two matching simulator setups. The demonstration was designed to show more than outright lap time. Racing Lab combines telemetry analysis, AI-generated reference data and direct control of compatible MOZA hardware. The system can record a driver’s inputs, identify where time is lost and then reproduce its own steering and pedal behavior through the wheelbase and active pedals. Racing Lab records detailed telemetry while the driver practices. The software analyzes lap time delta, speed, braking, throttle, gear selection and steering input. Drivers can then select a sector or corner and compare their own racing line and inputs against the AI reference, making it easier to identify exactly where performance starts to fall away. MOZA is also developing Racing Lab as a more accessible coaching tool. Instead of requiring beginners to interpret every telemetry trace themselves, the AI can identify areas that deserve attention and direct the user toward the relevant data. This can highlight problems such as braking too early, releasing the pedal too quickly, carrying too little speed or delaying throttle application. The most unusual feature is the AI’s ability to control the simulator hardware directly. Racing Lab can steer through a compatible MOZA wheelbase while the mBooster Active Pedals reproduce braking and throttle inputs. A driver can therefore feel when the AI brakes, how it releases pressure into a corner and how much steering input it applies. MOZA sees this physical feedback as a way to make techniques such as trail braking easier to understand.