and sensor fusion on micromobility vehicles nad have developed an ARAS system ( advanced rider assist system) and a stack of other hardware components that bring the safesty and intelligent riding for an two wheeler in an urban develeloped city.

Our team has developed sophisticated Artificial Intelligence (AI) technology that improves ride safety for micro-mobility devices.

Our product uses computer vision, machine learning, and sensor fusion to detect hazards and help users ride safely on public roads.

We collect data for ride analytics to help shared micro-mobility providers, local authorities, and insurance companies monitor and encourage safe user behaviour.

Our embedded system uses various sensors and camera technology that detects and understands the surroundings on the road and works with advanced algorithms to control speed and autonomously apply braking systems, while providing haptic and visual signals to the rider.

A mobile app serves as human-machine interface for the rider on the go and has additional functionality including vehicle information display, maps, position tracking, parking, and other real-time notifications.

The uniqueness of our product is that our 'plug-in' technology is applied by means of sensor fusion using custom embedded software/hardware and power electronics to smartly control the vehicle in a lean way without using process-heavy and costly sensors.

Our technology addresses the 'Three S' of micro-mobility: Safety, Smartness and Security.