Tactile Mobility




Series C



Feeling the tactility (i.e. dynamics) that is created between a vehicle and the road is key for optimizing safety, user experience, and efficiency, either if a person or a computer drives a vehicle. Tactile Mobility provides smart and autonomous vehicles (AVs) with the missing tactile sensing and data that makes vehicles smarter, roads better, and mobility-ecosystems enhanced. The company develops and commercializes the first of its kind Tactile Sensor Fusion and Analytics platform. Tactile Mobility’s in-car software and cloud solution ingests tens of thousands data points per second from already installed sensors, fuses and analyzes those and feeds information and insight about the car-road dynamics to the vehicle computers. This enables vehicles equipped with ADAS and Autonomous capabilities to make better driving decisions which benefit the passenger experience. In parallel, the company collects the data from the multitude of vehicles its technology enables and by cross referencing those creates mathematical models of both the vehicles (VehicleDNA) and the roads they are roaming (SurfaceDNA). These data sets are highly valuable to multiple constituents ranging from road authorities to fleets managers and insurance companies.

Boaz MizrachiCTO

Rinat YogevBoard Member
Rani PlautBoard Member

RoundDate AnnouncedInvestors
Tactile Mobility raises $27 millionOctober 27, 20218
Tactile Mobility raises StrategicJanuary 8, 20212
Tactile Mobility raises $9 million seriesSeptember 30, 20193

Investor NameInvestor TypeAUM ($)
BM Holdings0
Delek MotorsCompany0
Doron LivnatAngel0
Giora AckersteinAngel0
Goodyear VenturesCorporate Venture Capital100,000,000
Porsche VenturesCorporate Venture Capital0
Sacha Levy0
The Group VenturesVenture Capital0
Tzvi NetaAngel0
Union Motors0
Union Tech VenturesCorporate Venture Capital0

Patent TitleStatus
Vehicle monitorApplication
Vehicle monitorApplication


Residing on one of the vehicle’s computers (ECUs)*, this embedded software module runs proprietary algorithms and AI to generate real-time actionable insights about the vehicle-road dynamics. It analyzes the signals aggregated from numerous non-visual sensors that already exist in the vehicle, including wheel speed, wheel angle, RPM, accelerometers, paddles position and more, to represent in real-time the physical factors that impact any ride. Crunching datasets uploaded from multiple vehicles to the cloud, this module applies big data and machine learning to generate two mathematical models, describing the critical factors that impact vehicle-road dynamics: VehicleDNATM, calculates the information on engine efficiency, braking efficiency, tire health, weight, fuel consumption, and more. SurfaceDNATM, calculates the information on grades, banking, curvature, friction, and hazards such as bumps, cracks, and potholes. These two mathematical models create the accurate context that can be downloaded back to the vehicle for improved performance of the embedded software. They are also invaluable for third-party entities, opening up unlimited horizons for road authorities, fleet managers, insurers, and more with new, value-add use cases.

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