Tactile Mobility
Tactile Mobility provides AI-powered virtual sensors that deliver real-time insights into tire health, road grip, and vehicle weight - enhancing safety, efficiency, and vehicle intelligence.
About Us
Relevant Challenges
Sustainable Manufacturing
Tactile Mobility’s Virtual Tire Wear Sensor enables precise, real-time monitoring of tire tread wear using existing vehicle data—eliminating the need for additional hardware. By identifying excessive or uneven wear early, fleets and OEMs can optimize tire lifecycle management, reduce premature waste, and minimize environmental impact. This contributes directly to more sustainable vehicle usage and resource-efficient manufacturing practices.
Software Defined Vehicle
Tactile Mobility powers Software-Defined Vehicles through its suite of virtual sensors that transform raw in-vehicle data into actionable insights about road grip, vehicle weight, and tire wear. These software-only capabilities enhance the digital architecture of SDVs, enabling continuous over-the-air updates, reduced reliance on hardware, and smarter, more adaptable driving experiences.
Autonomous Systems
Tactile Mobility provides non-visual road perception that complements traditional sensor stacks. Our real-time data on grip levels, road anomalies, and tire-road interaction enhances autonomous decision-making—especially in low-visibility scenarios where cameras and LiDAR are limited.
Predictive Maintenance
By monitoring tire wear, grip, and vehicle load continuously, our software flags anomalies early—enabling predictive-maintenance that reduces downtime and service costs. This is especially valuable for fleets aiming to maximize uptime and optimize TCO.
Vehicle & Infrastructure Monitoring
We provide deep insights into vehicle dynamics—such as real-time weight estimation and road friction levels—empowering OEMs and fleet operators to improve fuel efficiency, load distribution, and operational safety without extra sensors.
Vehicle Oriented
Tactile Mobility enhances vehicle safety by providing continuous feedback on road grip, tire condition, and vehicle load. This data enables advanced driver assistance systems (ADAS) and human drivers to adjust speed and braking behavior in real time, significantly reducing accident risk due to poor road conditions or compromised vehicle states.
