Cloud Platform for Road Intelligence
VALUE OF
CUSTOMIZED DATA
UNIQUE ASSESTS ON THE MARKET
Cloud connectivity matters only if the data is truly valuable and vehicle specific. ERC doesn’t just upload vehicle dynamics: it enables the cloud sharing of aquaplaning, snow, ice, irregular terrain detection captured through real-time, embedded virtual sensing with exceptional accuracy and precision.
Alongside this unique capability, ERC transmits high-quality insights and other key indicators (tire wear, tire pressure, wheel alignment, irregular terrain)—continuously and reliably, ready to unlock value from every kilometer. And from every vehicle.
INFRASTRUCTURE
SAFER, MORE PRECISE SMART DATA FOR MOBILITY.
ERC enables the creation of real-time road maps that highlight low-grip areas, worn surfaces, and emerging hazards.
By combining this information with the state of the car and its components, it’s possible to send detailed, extremely precise alerts that vary dynamically.
fleet
DYNAMIC intelligence
for fleets.
Fleet managers can monitor road risks, vehicle health, and maintenance needs across their entire network, using dynamic data that takes into account road conditions and vehicle wear.
ERC reduces downtime, improves efficiency, and provides insights that make every route safer and more cost-effective.
safety
Predictive
protection for
every vehicle.
ERC generates tailored data by combining surface detection with tire conditions, delivering extremely accurate, vehicle-specific, customized insights.
It helps vehicles anticipate danger and avoid hazardous conditions, enabling safer driving. This shared intelligence makes ADAS and autonomous driving more effective, extending vehicle perception and improving decisions in critical conditions.
SOON
Integration of Artificial Intelligence
With the integration of Artificial Intelligence, ERC evolves into a self-learning cloud system that transforms raw data into predictive intelligence, making shared road awareness proactive, not just reactive.
By learning from fleet-wide sensor patterns and real-world outcomes, it anticipates risks, adapts to changing conditions, and closes the loop with real-world feedback, improving over time and enabling safer, smarter, and truly connected mobility for ADAS and autonomous driving.
