Ximantis, a Swedish startup, has entered the autonomous vehicles and Advanced Driver Assistance Systems (ADAS) software platform, with its Stochastic Re-construction module. This module, in direct communication with the vehicle’s software, can integrate any number of available data sources and completely resolve, in real time, local vehicle interactions.

With a mission to provide traffic solutions to reduce individual and societal congestion waste, Ximantis has created this effective algorithm based on its patent-pending process that can independently forecast traffic events more than 30 minutes into the future. By expanding its model to seamlessly manage multifaceted M2M vehicular traffic behaviors encompassing efficiency, safety, and simplicity, the company enters a new domain of traffic solutions.

“I’m very happy to announce our innovative approach to autonomous driver-less software systems with the Stochastic Re-construction module. Our cutting-edge research advances technology in anticipating traffic patterns and providing intelligent traffic solutions, placing Ximantis at the forefront of the current technology revolution.” says Alexandros Sopasakis, CEO and Co-founder of Ximantis in Automotive Business Review

With the advent of digitalization, cars today have become complex software-intensive machines, with lines of code exceeding many times those of even the space shuttle. In such a progressive industry, Ximantis can demonstrate tangible benefits by incorporating the Stochastic Re-construction module technology to Connected Cars and Autonomous Vehicle software systems.

“A lot of companies announce mergers and acquisitions in the hopes of possibly creating new value in the future. At Ximantis, with US and foreign patents applied for, we have already tested this technology in actual traffic. We can demonstrate its value right now.” says Alexandros Sopasakis.

Ximantis main aim is to get the word out. Their technology can be implemented on many different platforms. As a next step, the startup is interested in pairing the module with other complementary technologies and establish Ximantis as the important strategic partner in the field as it ought to be.