AI Powers Real-Time Telemetry for Motorsports
What happened
IturanMob and Griiip have partnered to provide real-time telemetry and AI-powered insights for race and track-day drivers. The solution leverages embedded sensors and edge analytics to connect thousands of vehicles. This application showcases a fusion of embedded hardware, real-time operating systems, and AI in a high-performance, safety-critical environment.
Why it matters
- Ituran, founded in 1995, has a history of adapting technology originally developed for the Israeli Air Force to locate downed pilots for commercial vehicle telematics and stolen vehicle recovery. - Griiip's technology stack includes a proprietary hardware component called the "Red Box," which collects raw data directly from a vehicle's electronic units, and a cloud-based data platform named RAMP (Racing Media Platform). - The partnership aims to connect thousands of motorsport vehicles by the end of 2026, making the technology accessible to both professional series and amateur track-day drivers. - Griiip is backed by Porsche Ventures and has a technical partnership with Manthey, a world-leading Porsche racing team, to develop its performance analysis capabilities. - The joint system analyzes detailed performance data including acceleration, braking, cornering, driver behavior, and critical events such as mistakes and anomalies. - The volume of data in professional motorsports is massive; a single Formula 1 car features around 300 sensors that can produce 1.5 terabytes of data over a race weekend. - This collaboration reflects a broader industry trend of moving high-performance computing to the trackside, with teams like McLaren F1 building edge data centers at each race to analyze data in milliseconds. - The CEOs leading the partnership are Eyal Sheratzky of Ituran and Tamir Plachinsky, founder and CEO of Griiip.
Key numbers
- - Ituran, founded in 1995, has a history of adapting technology originally developed for the Israeli Air Force to locate downed pilots for commercial vehicle telematics and stolen vehicle recovery.
- The partnership aims to connect thousands of motorsport vehicles by the end of 2026, making the technology accessible to both professional series and amateur track-day drivers.
- The volume of data in professional motorsports is massive; a single Formula 1 car features around 300 sensors that can produce 1.5 terabytes of data over a race weekend.
- This collaboration reflects a broader industry trend of moving high-performance computing to the trackside, with teams like McLaren F1 building edge data centers at each race to analyze data in milliseconds.
What happens next
- The partnership aims to connect thousands of motorsport vehicles by the end of 2026, making the technology accessible to both professional series and amateur track-day drivers.
Quick answers
What happened in AI Powers Real-Time Telemetry for Motorsports?
IturanMob and Griiip have partnered to provide real-time telemetry and AI-powered insights for race and track-day drivers. The solution leverages embedded sensors and edge analytics to connect thousands of vehicles. This application showcases a fusion of embedded hardware, real-time operating systems, and AI in a high-performance, safety-critical environment.
Why does AI Powers Real-Time Telemetry for Motorsports matter?
Ituran, founded in 1995, has a history of adapting technology originally developed for the Israeli Air Force to locate downed pilots for commercial vehicle telematics and stolen vehicle recovery. Griiip's technology stack includes a proprietary hardware component called the "Red Box," which collects raw data directly from a vehicle's electronic units, and a cloud-based data platform named RAMP (Racing Media Platform). The partnership aims to connect thousands of motorsport vehicles by the end of 2026, making the technology accessible to both professional series and amateur track-day drivers. Griiip is backed by Porsche Ventures and has a technical partnership with Manthey, a world-leading Porsche racing team, to develop its performance analysis capabilities. The joint system analyzes detailed performance data including acceleration, braking, cornering, driver behavior, and critical events such as mistakes and anomalies. The volume of data in professional motorsports is massive; a single Formula 1 car features around 300 sensors that can produce 1.5 terabytes of data over a race weekend. This collaboration reflects a broader industry trend of moving high-performance computing to the trackside, with teams like McLaren F1 building edge data centers at each race to analyze data in milliseconds. The CEOs leading the partnership are Eyal Sheratzky of Ituran and Tamir Plachinsky, founder and CEO of Griiip.