You will be investigating new methods to extend the field of possibilities for tire wear estimation, especially for fleet management. Your main responsibility will be to adapt a Virtual Sensor to work on low frequency data as part of an exploration activity.
Key Responsibilities
COMPREDICT - The Virtual Sensor Company. At Compredict, we develop virtual sensors & intelligent algorithms that turn available vehicle signals into valuable insights. To achieve this, we combine deep data science know-how and automotive domain expertise.
Hardware Replacement:
Reduce BOM and complexity with our Virtual Sensors
1. Eliminate hardware sensors and wiring.
2. Avoid sensor failure from physical degradation.
3. Configure to any vehicle model with ease.
New SDV Capabilities:
Unlock business value from your SDV stack
1. Capitalize on the shift to powerful in-vehicle processing.
2. Easily incorporate embedded AI in Chassis and Powertrain domains.
3. Leverage your vehicle OS for new features.
Aftersales Business:
Generate additional revenues
1. Monitor wear, fatigue, and anomalies in real-time.
2. Use data-driven end-of-life forecasts for usage-based maintenance.
3. Boost customer loyalty with tailored maintenance plans and personalized offers for replacement parts.
We are backed by leading mobility VC and strategic investors such as Woven Capital, growth fund of Toyota and BlackBerry.
Visit our website at https://compredict.ai and https://virtualsensor.com/ for more information.
