Parallel Systems is developing automated, battery-electric freight rail vehicles and software to facilitate the transition of freight transport from trucking to rail, utilizing existing rail infrastructure. This approach addresses the high emissions and costs associated with the $700 billion U.S. trucking industry by providing a zero-emissions alternative for rail corridors under 1,000 miles.
Funding
$53.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The U.S. trucking industry faces challenges related to high emissions, rising costs, and road safety concerns. Existing rail infrastructure is underutilized for freight transport, especially for routes under 1,000 miles.
Solution
Parallel Systems develops automated, battery-electric rail vehicles and software to facilitate the transition of freight transport from trucking to rail. Their technology enables railroads to serve new markets by converting freight from trucking to rail, offering a zero-emissions alternative for rail corridors under 1,000 miles. The system complements existing freight rail service, allowing railroads to expand their service offerings. The approach aims to reduce costs, expand rail access, improve safety, and increase revenue for rail operators.
Target Audience
The primary target audience includes railroad operators seeking to expand their service offerings and reduce emissions, as well as companies looking for more sustainable and cost-effective freight transportation solutions.
Features
- Automated, battery-electric rail vehicles designed for freight transport.
- Software platform for integrating the vehicles into existing railroad operations.
- Zero-emissions operation, reducing the environmental impact of freight transport.
- Capability to serve rail corridors under 1,000 miles, expanding the reach of rail freight.
- Increased safety through automation and reduced reliance on trucking.