Even with all the technological advances that are currently embedded in the vehicle, only in the USA 28 million vehicles were recalled in 2019, excluding that data related to recalls of Takata.
(https://www.stout.com/en/insights/report/2020-automotive-defect-and-recall-report).

Previsiown is a cloud data intelligence platform focused on the mobility industry that captures the subjective perceptions reported by the driver, or passengers, to create objective analysis scenarios on the vehicle’s performance and behavior.

Our field of activity is the collection and analysis of data from sensors already present in vehicles without modifying the engineering embedded by the manufacturer, integrating technologies that streamline the identification process of performance of the vehicle, traditional or autonomous.

Vehicle tests performed by the automotive industry use data perceived by the driver, who acts as an important sensor. 
From real-time monitoring of all vehicle variables, their location and analysis of data included by the driver, via voice command, it is possible to reduce the subjectivity of the test process. 
The Previsiown allows engineers greater assertiveness in the development of vehicles, in compliance with safety requirements and overall performance, accelerating the commercial launch of the car.