Machine Learning Infrastructure Internship, Parallel Systems

Parallel Systems designs autonomous, zero-emissions freight transportation systems for railways, providing a sustainable alternative to freight trucking. The automated rail vehicles use existing railway networks to increase infrastructure utilization and open railroads to new markets, whilst providing an alternative to logistics companies that is safer, faster, zero-emission, and lower cost.

While the company faces competition in fellow autonomous railcar company Intramotev, Parallel shows promise to disrupt the market by being based on pre-existing infrastructure that is faster, safer, and cheaper than road-based logistics. Through this approach, the company can help logistics companies become carbon-neutral whilst increasing their access to railway freight, thus saving them money and boosting opportunities for revenue growth.